-
1
-
-
35148813570
-
Learning a spatially smooth subspace for face recognition
-
D. Cai, X. He, Y. Hu, J. Han, and T. Huang. Learning a spatially smooth subspace for face recognition. CVPR, 2007.
-
(2007)
CVPR
-
-
Cai, D.1
He, X.2
Hu, Y.3
Han, J.4
Huang, T.5
-
3
-
-
51949118036
-
Information-theoretic metric learning
-
J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. Dhillon. Information-theoretic metric learning. ICML, 2007.
-
(2007)
ICML
-
-
Davis, J.V.1
Kulis, B.2
Jain, P.3
Sra, S.4
Dhillon, I.5
-
5
-
-
85158044173
-
Image retrieval and clas-sification using local distance functions
-
A. Frome, Y. Singer, and J. Malik. Image retrieval and clas-sification using local distance functions. NIPS, 2006.
-
(2006)
NIPS
-
-
Frome, A.1
Singer, Y.2
Malik, J.3
-
7
-
-
56449124689
-
Localized multiple kernel learn-ing
-
M. Gonen and E. Alpaydin. Localized multiple kernel learn-ing. ICML, 2008.
-
(2008)
ICML
-
-
Gonen, M.1
Alpaydin, E.2
-
9
-
-
77953190428
-
A robust elastic and partial matching metric for face recognition
-
G. Hua and A. Akbarzadeh. A robust elastic and partial matching metric for face recognition. ICCV, 2009.
-
(2009)
ICCV
-
-
Hua, G.1
Akbarzadeh, A.2
-
10
-
-
85162055589
-
Inductive regularized learn-ing of kernel functions
-
P. Jain, B. Kulis, and I. Dhillon. Inductive regularized learn-ing of kernel functions. NIPS, 2010.
-
(2010)
NIPS
-
-
Jain, P.1
Kulis, B.2
Dhillon, I.3
-
12
-
-
0000262562
-
Hierarchical mixtures of experts and the em algorithm
-
M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the em algorithm. Neural Computation, 1994.
-
(1994)
Neural Computation
-
-
Jordan, M.1
Jacobs, R.2
-
13
-
-
33749263205
-
Automatic ba-sis function construction for approximate dynamic program-ming and reinforcement learning
-
P. W. Keller, S. Mannor, and D. Precup. Automatic ba-sis function construction for approximate dynamic program-ming and reinforcement learning. ICML, 2006.
-
(2006)
ICML
-
-
Keller, P.W.1
Mannor, S.2
Precup, D.3
-
14
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. CVPR, 2006.
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
15
-
-
50949105782
-
Proximity distribution kernels for geometric context in category recognition
-
H. Ling and S. Soatto. Proximity distribution kernels for geometric context in category recognition. ICCV, 2007.
-
(2007)
ICCV
-
-
Ling, H.1
Soatto, S.2
-
16
-
-
33749263029
-
Generalized spec-tral bounds for sparse lda
-
B. Moghaddam, Y. Weiss, and S. Avidan. Generalized spec-tral bounds for sparse lda. ICML, 2006.
-
(2006)
ICML
-
-
Moghaddam, B.1
Weiss, Y.2
Avidan, S.3
-
17
-
-
33846249191
-
Sampling strategies for bag-of-features image classification
-
E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. ECCV, 2006.
-
(2006)
ECCV
-
-
Nowak, E.1
Jurie, F.2
Triggs, B.3
-
19
-
-
79952501854
-
Establishing good bench-marks and baselines for face recognition
-
N. Pinto, J. DiCarlo, and D. Cox. Establishing good bench-marks and baselines for face recognition. ECCV, 2008.
-
(2008)
ECCV
-
-
Pinto, N.1
DiCarlo, J.2
Cox, D.3
-
20
-
-
71149095035
-
An effi-cient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization
-
G. Qi, J. Tang, Z. Zha, T. Chua, and H. Zhang. An effi-cient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization. ICML, 2009.
-
(2009)
ICML
-
-
Qi, G.1
Tang, J.2
Zha, Z.3
Chua, T.4
Zhang, H.5
-
22
-
-
78650208928
-
Learning label embeddings for nearest-neighbor multi-class classification with an appli-cation to speech recognition
-
N. Singh-Miller and M. Collins. Learning label embeddings for nearest-neighbor multi-class classification with an appli-cation to speech recognition. NIPS, 2009.
-
(2009)
NIPS
-
-
Singh-Miller, N.1
Collins, M.2
-
23
-
-
78751696691
-
Predictive projections
-
N. Sprague. Predictive projections. IJCAI, 2009.
-
(2009)
IJCAI
-
-
Sprague, N.1
-
25
-
-
33749550361
-
Distance met-ric learning for large margin nearest neighbor classification
-
K. Weinberger, J. Blitzer, and L. K. Saul. Distance met-ric learning for large margin nearest neighbor classification. NIPS, 2006.
-
(2006)
NIPS
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.K.3
-
26
-
-
56449127513
-
Fast solvers and efficient imple-mentations for distance metric learning
-
K. Weinberger and L. Saul. Fast solvers and efficient imple-mentations for distance metric learning. ICML, 2008.
-
(2008)
ICML
-
-
Weinberger, K.1
Saul, L.2
-
27
-
-
79957815549
-
Sparse metric learning via smooth optimization
-
Y. Ying, K. Huang, and C. Campbell. Sparse metric learning via smooth optimization. NIPS, 2009.
-
(2009)
NIPS
-
-
Ying, Y.1
Huang, K.2
Campbell, C.3
-
28
-
-
33745118249
-
-
Technical Report, statistics department, Stanford University
-
H. Zou, T. Hastie, and R. Tibshirani. Sparse principle com-ponent analysis. Technical Report, statistics department, Stanford University, 2004.
-
(2004)
Sparse Principle Com-Ponent Analysis
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
|