-
1
-
-
64249140068
-
Sparse Matrix
-
A Wolfram Web Resources, Aug. 16, 2008 [Online, Available:, created by Eric W. Weisstien
-
T. Davis, "Sparse Matrix. From MathWorld - A Wolfram Web Resources," Aug. 16, 2008 [Online]. Available: http://mathworld.wolfram. com/SparseMatrix.html, created by Eric W. Weisstien
-
From MathWorld
-
-
Davis, T.1
-
2
-
-
33745484516
-
Generalized consensus computation in networked systems with erasure links
-
New York, Jun
-
M. G. Rabbat, R. D. Nowak, and J. A. Bucklew, "Generalized consensus computation in networked systems with erasure links," in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, New York, Jun. 2005, pp. 1088-1092.
-
(2005)
Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications
, pp. 1088-1092
-
-
Rabbat, M.G.1
Nowak, R.D.2
Bucklew, J.A.3
-
3
-
-
0015125548
-
An RKHS approach to detection and estimation problems. Pt. I: Deterministic signals in Gaussian noice
-
Sep
-
T. Kailath, "An RKHS approach to detection and estimation problems. Pt. I: Deterministic signals in Gaussian noice," IEEE Trans. Inf. Theory vol. IT-17, no. 5, pp. 530-549, Sep. 1971.
-
(1971)
IEEE Trans. Inf. Theory
, vol.IT-17
, Issue.5
, pp. 530-549
-
-
Kailath, T.1
-
4
-
-
5844297152
-
Theory of reproducing kernels
-
N. Aronszajn, "Theory of reproducing kernels," Trans. Amer. Math. Soc., vol. 68, no. 3, pp. 337-404, 1950.
-
(1950)
Trans. Amer. Math. Soc
, vol.68
, Issue.3
, pp. 337-404
-
-
Aronszajn, N.1
-
5
-
-
0033907315
-
The generalized distributive law
-
Mar
-
S. M. Aji and R. J. McEliece, "The generalized distributive law," IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 325-343, Mar. 2000.
-
(2000)
IEEE Trans. Inf. Theory
, vol.46
, Issue.2
, pp. 325-343
-
-
Aji, S.M.1
McEliece, R.J.2
-
6
-
-
0041472588
-
An energy efficient hierarchical clustering algorithm for wireless sensor networks
-
San Francisco, CA, Mar./Apr
-
S. Bandyopadhyay and E. Coyle, "An energy efficient hierarchical clustering algorithm for wireless sensor networks," in Proc. 22nd Annu. Joint Conf. IEEE Computer and Communications Societies (Infocom San Francisco, CA, Mar./Apr. 2003, vol. 3, pp. 1713-1723.
-
(2003)
Proc. 22nd Annu. Joint Conf. IEEE Computer and Communications Societies (Infocom
, vol.3
, pp. 1713-1723
-
-
Bandyopadhyay, S.1
Coyle, E.2
-
7
-
-
0030246542
-
On projection algorithms for solving convex feasibility problems
-
Sep
-
H. H. Bauschke and J. M. Borwein, "On projection algorithms for solving convex feasibility problems," SIAM Rev., vol. 38, no. 3, pp. 367-426, Sep. 1996.
-
(1996)
SIAM Rev
, vol.38
, Issue.3
, pp. 367-426
-
-
Bauschke, H.H.1
Borwein, J.M.2
-
10
-
-
49949144765
-
The relaxation method of finding a common point of convex sets andits application to the solution of problems in convex programming
-
L. M. Bregman, "The relaxation method of finding a common point of convex sets andits application to the solution of problems in convex programming," U. S. S. R. Comput. Math. Math. Phys., vol. 78, no. 384, pp. 200-217, 1967.
-
(1967)
U. S. S. R. Comput. Math. Math. Phys
, vol.78
, Issue.384
, pp. 200-217
-
-
Bregman, L.M.1
-
12
-
-
85032764844
-
Distributed fusion in sensor networks: A graphical models perspective
-
Jul
-
M. Cetin, L. Chen, J. W. Fisher III, A. T. Ihler, R. L. Moses, M. J. Wainwright, and A. S.Willsky, "Distributed fusion in sensor networks: A graphical models perspective," IEEE Signal Process. Mag. (Special Issue on Distributed Signal Processing in Wireless Sensor Networks), vol. 23, no. 4, pp. 42-55, Jul. 2006.
-
(2006)
IEEE Signal Process. Mag. (Special Issue on Distributed Signal Processing in Wireless Sensor Networks)
, vol.23
, Issue.4
, pp. 42-55
-
-
Cetin, M.1
Chen, L.2
Fisher III, J.W.3
Ihler, A.T.4
Moses, R.L.5
Wainwright, M.J.6
Willsky, A.S.7
-
13
-
-
3042782810
-
Robust distributed estimation in sensor networks using the embedded polygons algorithm
-
Berkeley, CA, Apr
-
V. Delouille, R. Neelamani, and R. Baraniuk, "Robust distributed estimation in sensor networks using the embedded polygons algorithm," in Proc. 3rd Int. Symp. Information Processing in Sensor Networks, Berkeley, CA, Apr. 2004, pp. 405-413.
-
(2004)
Proc. 3rd Int. Symp. Information Processing in Sensor Networks
, pp. 405-413
-
-
Delouille, V.1
Neelamani, R.2
Baraniuk, R.3
-
15
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," Comput. Syst. Scie., vol. 55, no. 1, pp. 119-139, 1997.
-
(1997)
Comput. Syst. Scie
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
16
-
-
64249144481
-
Privacy-Preserving Boosting
-
preprint
-
S. Gambs, B. Kégl, and E. Aïmeur, "Privacy-Preserving Boosting," 2005, preprint.
-
(2005)
-
-
Gambs, S.1
Kégl, B.2
Aïmeur, E.3
-
17
-
-
85032751286
-
Localization via ultra-wideband radios
-
Jul
-
S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. F. Molisch, H. V. Poor, and Z. Sahinoglu, "Localization via ultra-wideband radios," IEEE Signal Process. Mag., vol. 22, no. 4, pp. 70-84, Jul. 2005.
-
(2005)
IEEE Signal Process. Mag
, vol.22
, Issue.4
, pp. 70-84
-
-
Gezici, S.1
Tian, Z.2
Giannakis, G.B.3
Kobayashi, H.4
Molisch, A.F.5
Poor, H.V.6
Sahinoglu, Z.7
-
19
-
-
3042820611
-
Distributed regression: An efficient framework for modeling sensor network data
-
Berkeley, CA, Apr
-
C. Guestrin, P. Bodi, R. Thibau, M. Paskin, and S. Madde, "Distributed regression: An efficient framework for modeling sensor network data," in Proc. 3rd Int. Symp. Information Processing in Sensor Networks, Berkeley, CA, Apr. 2004, pp. 1-10.
-
(2004)
Proc. 3rd Int. Symp. Information Processing in Sensor Networks
, pp. 1-10
-
-
Guestrin, C.1
Bodi, P.2
Thibau, R.3
Paskin, M.4
Madde, S.5
-
20
-
-
33747142749
-
Capacity of wireless networks
-
Mar
-
P. Gupta and P. R. Kumar, "Capacity of wireless networks," IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 388-401, Mar. 2000.
-
(2000)
IEEE Trans. Inf. Theory
, vol.46
, Issue.2
, pp. 388-401
-
-
Gupta, P.1
Kumar, P.R.2
-
22
-
-
0003684449
-
-
New York: Springer-Verlag
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York: Springer-Verlag, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
23
-
-
0004283231
-
-
M. Jordan, Ed, Cambridge, MA: MIT Press
-
M. Jordan, Ed., Learning in Graphical Models. Cambridge, MA: MIT Press, 1999.
-
(1999)
Learning in Graphical Models
-
-
-
24
-
-
0015000439
-
Some results on Tchebycheffian spline functions
-
G. Kimeldorf and G. Wahba, "Some results on Tchebycheffian spline functions," J. Math. Anal. Applic., vol. 33, no. 1, pp. 82-95, 1971.
-
(1971)
J. Math. Anal. Applic
, vol.33
, Issue.1
, pp. 82-95
-
-
Kimeldorf, G.1
Wahba, G.2
-
25
-
-
0008815681
-
Additive versus exponentiated gradient updates for linear prediction
-
J. Kivinen and M. K. Warmuth, "Additive versus exponentiated gradient updates for linear prediction," Inf. Comput., vol. 132, no. 1, pp. 1-64, 1997.
-
(1997)
Inf. Comput
, vol.132
, Issue.1
, pp. 1-64
-
-
Kivinen, J.1
Warmuth, M.K.2
-
26
-
-
0035246564
-
Factor graphs and the sum-product algorithm
-
Feb
-
F. R. Kschischang, B. J. Frey, and H.-A. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. Inf. Theory, vol. 47, no. 2, pp. 498-519, Feb. 2001.
-
(2001)
IEEE Trans. Inf. Theory
, vol.47
, Issue.2
, pp. 498-519
-
-
Kschischang, F.R.1
Frey, B.J.2
Loeliger, H.-A.3
-
27
-
-
2942637958
-
A deterministic approach to throughput scaling in wireless networks
-
Jun
-
S. R. Kulkarni and P. Viswanath, "A deterministic approach to throughput scaling in wireless networks," IEEE Trans. Inf. Theory vol. 50, no. 6, pp. 1041-1049, Jun. 2004.
-
(2004)
IEEE Trans. Inf. Theory
, vol.50
, Issue.6
, pp. 1041-1049
-
-
Kulkarni, S.R.1
Viswanath, P.2
-
28
-
-
0035789273
-
The distributed boosting algorithm
-
San Francisco, CA, published by ACM Press
-
A. Lazarevic and Z. Obradovic, "The distributed boosting algorithm," in Proc. 7th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining, San Francisco, CA, 2001, pp. 311-316, published by ACM Press.
-
(2001)
Proc. 7th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining
, pp. 311-316
-
-
Lazarevic, A.1
Obradovic, Z.2
-
29
-
-
85032780651
-
An introduction to factor graphs
-
Jan
-
H. A. Loeliger, "An introduction to factor graphs," IEEE Signal Process. Mag., vol. 21, no. 1, pp. 28-41, Jan. 2004.
-
(2004)
IEEE Signal Process. Mag
, vol.21
, Issue.1
, pp. 28-41
-
-
Loeliger, H.A.1
-
30
-
-
33746360402
-
Distributed optimization in adaptive networks
-
S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press
-
C. C. Moallemi and B. Van Roy, "Distributed optimization in adaptive networks," in Advances in Neural Information Processing Systems 16 S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004.
-
(2004)
Advances in Neural Information Processing Systems 16
-
-
Moallemi, C.C.1
Van Roy, B.2
-
31
-
-
85032753993
-
Incremental Subgradient Methods for Nondifferentiable Optimization MIT, Cambridge, MA
-
Tech. Rep. LIDS-P-2460
-
A. Nedic and D. Bertsekas, Incremental Subgradient Methods for Nondifferentiable Optimization MIT, Cambridge, MA, Tech. Rep. LIDS-P-2460, 1999.
-
(1999)
-
-
Nedic, A.1
Bertsekas, D.2
-
32
-
-
0005422061
-
Convergence rate of incremental subgradient algorithms
-
S. Uryasev and P. M. Pardalos, Eds. Dordrecht, The Netherlands: Kluwer
-
A. Nedic and D. Bertsekas, "Convergence rate of incremental subgradient algorithms," in Stochastic Optimization: Algorithms and Applications S. Uryasev and P. M. Pardalos, Eds. Dordrecht, The Netherlands: Kluwer, 2000, pp. 263-304.
-
(2000)
Stochastic Optimization: Algorithms and Applications
, pp. 263-304
-
-
Nedic, A.1
Bertsekas, D.2
-
33
-
-
33746371214
-
A kernel-based learning approach to ad hoc sensor network localization
-
X. Nguyen, M. I. Jordan, and B. Sinopoli, "A kernel-based learning approach to ad hoc sensor network localization," ACM Trans. Sensor Networks, vol. 1, no. 1, pp. 134-152, 2005.
-
(2005)
ACM Trans. Sensor Networks
, vol.1
, Issue.1
, pp. 134-152
-
-
Nguyen, X.1
Jordan, M.I.2
Sinopoli, B.3
-
34
-
-
27744572442
-
Nonparametric decentralied detection using kernel methods
-
Nov
-
X. Nguyen, M. J.Wainwright, and M. I. Jordan, "Nonparametric decentralied detection using kernel methods," IEEE Trans. Signal Process., vol. 53, no. 11, pp. 4053-4066, Nov. 2005.
-
(2005)
IEEE Trans. Signal Process
, vol.53
, Issue.11
, pp. 4053-4066
-
-
Nguyen, X.1
Wainwright, M.J.2
Jordan, M.I.3
-
35
-
-
34547278772
-
Boundary estimation in sensor networks: Theory and methods
-
Palo Alto, CA, Apr. 22-23
-
R. Nowak and U. Mitra, "Boundary estimation in sensor networks: Theory and methods," in Proc. 2nd Int. Workshop on Information Processing in Sensor Networks, Palo Alto, CA, Apr. 22-23, 2003, pp. 80-95.
-
(2003)
Proc. 2nd Int. Workshop on Information Processing in Sensor Networks
, pp. 80-95
-
-
Nowak, R.1
Mitra, U.2
-
36
-
-
0042164384
-
Distributed EM algorithms for density estimation and clustering in sensor networks
-
Aug
-
R. D. Nowak, "Distributed EM algorithms for density estimation and clustering in sensor networks," IEEE Trans. Signal Process., vol. 51, no. 8, pp. 2245-2253, Aug. 2003.
-
(2003)
IEEE Trans. Signal Process
, vol.51
, Issue.8
, pp. 2245-2253
-
-
Nowak, R.D.1
-
37
-
-
64249148764
-
Junction Tree Algorithms for Solving Sparse Linear Systems EECS Dep., Univ.California, Berkeley, Tech
-
Rep. UCB/CSD-03-1271
-
M. A. Paskin and G. D. Lawrence, Junction Tree Algorithms for Solving Sparse Linear Systems EECS Dep., Univ.California, Berkeley, Tech. Rep. UCB/CSD-03-1271, 2003.
-
(2003)
-
-
Paskin, M.A.1
Lawrence, G.D.2
-
38
-
-
33744942641
-
A robust architecture for inference in sensor networks
-
UCLA, Los Angeles, CA, Apr
-
M. A. Paskin, C. E. Guestrin, and J. McFadden, "A robust architecture for inference in sensor networks," in Proc. 4rth Int. Symp. Information Processing in Sensor Networks, UCLA, Los Angeles, CA, Apr. 2005, pp. 55-62.
-
(2005)
Proc. 4rth Int. Symp. Information Processing in Sensor Networks
, pp. 55-62
-
-
Paskin, M.A.1
Guestrin, C.E.2
McFadden, J.3
-
39
-
-
85032751636
-
Locating the nodes: Cooperative localization in wireless sensor networks
-
Jul
-
N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, "Locating the nodes: Cooperative localization in wireless sensor networks," IEEE Signal Process. Mag., vol. 22, no. 4, pp. 54-69, Jul. 2005.
-
(2005)
IEEE Signal Process. Mag
, vol.22
, Issue.4
, pp. 54-69
-
-
Patwari, N.1
Ash, J.N.2
Kyperountas, S.3
Hero, A.O.4
Moses, R.L.5
Correal, N.S.6
-
41
-
-
7544221607
-
Extended message passing algorithm for inference in loopy Gaussian graphical models
-
K. Plarre and P. R. Kumar, "Extended message passing algorithm for inference in loopy Gaussian graphical models," Ad Hoc Networks, vol. 2, no. 2, pp. 153-169, 2004.
-
(2004)
Ad Hoc Networks
, vol.2
, Issue.2
, pp. 153-169
-
-
Plarre, K.1
Kumar, P.R.2
-
43
-
-
30644465872
-
Regression in sensor networks: Training distributively with alternating projections
-
San Diego, CA, Jul./Aug, Invited Paper
-
J. B. Predd, S. R. Kulkarni, and H. V. Poor, "Regression in sensor networks: Training distributively with alternating projections," in Proc. SPIE Conf. Advanced Signal Processing Algorithms, Architectures, and Implementations XV, San Diego, CA, Jul./Aug. 2005, pp. 591006-1-591006-15, Invited Paper.
-
(2005)
Proc. SPIE Conf. Advanced Signal Processing Algorithms, Architectures, and Implementations XV
-
-
Predd, J.B.1
Kulkarni, S.R.2
Poor, H.V.3
-
44
-
-
33751022590
-
Distributed kernel regression: An algorithm for training collaboratively
-
Punta del Este, Uruguay, Mar
-
J. B. Predd, S. R. Kulkarni, and H. V. Poor, "Distributed kernel regression: An algorithm for training collaboratively," in Proc. 2006 IEEE Information Theory Workshop, Punta del Este, Uruguay, Mar. 2006.
-
(2006)
Proc. 2006 IEEE Information Theory Workshop
-
-
Predd, J.B.1
Kulkarni, S.R.2
Poor, H.V.3
-
45
-
-
3042699804
-
Distributed optimization in sensor networks
-
Berkeley, CA, Apr
-
M. Rabbat and R. Nowak, "Distributed optimization in sensor networks," in Proc. 3rd Int. Symp. Information Processing in Sensor Networks, Berkeley, CA, Apr. 2004, pp. 20-27.
-
(2004)
Proc. 3rd Int. Symp. Information Processing in Sensor Networks
, pp. 20-27
-
-
Rabbat, M.1
Nowak, R.2
-
46
-
-
17144419228
-
Quantized incremental algorithms for distributed optimization
-
Apr
-
M. G. Rabbat and R. D. Nowak, "Quantized incremental algorithms for distributed optimization," IEEE J. Sel. Areas Commun., vol. 23, no. 4, pp. 798-808, Apr. 2005.
-
(2005)
IEEE J. Sel. Areas Commun
, vol.23
, Issue.4
, pp. 798-808
-
-
Rabbat, M.G.1
Nowak, R.D.2
-
47
-
-
33144479374
-
Consistency in models for distributed learning under communication constraints
-
Jan
-
J. B. Predd, S. R. Kulkarni, and H. V. Poor, "Consistency in models for distributed learning under communication constraints," IEEE Trans. Inf. Theory, vol. 52, no. 1, pp. 52-53, Jan. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.1
, pp. 52-53
-
-
Predd, J.B.1
Kulkarni, S.R.2
Poor, H.V.3
-
48
-
-
64249143988
-
Stability Analysis for Regularized Least Squares Regression
-
arXiv: Cs.LG/0502016
-
C. Rudin, Stability Analysis for Regularized Least Squares Regression 2005, arXiv: Cs.LG/0502016.
-
(2005)
-
-
Rudin, C.1
-
50
-
-
34547237265
-
The value of clustering in distributed estimation for sensor networks
-
Maui, HI, Jun
-
S.-H. Son, M. Chiang, S. R. Kulkarni, and S. C. Schwartz, "The value of clustering in distributed estimation for sensor networks," in Proc. IEEE Int. Conf. Wireless Networks, Communications, and Mobile Computing Maui, HI, Jun. 2005, vol. 2, pp. 969-974.
-
(2005)
Proc. IEEE Int. Conf. Wireless Networks, Communications, and Mobile Computing
, vol.2
, pp. 969-974
-
-
Son, S.-H.1
Chiang, M.2
Kulkarni, S.R.3
Schwartz, S.C.4
|