Towards a theoretical framework for learning multi-modal patterns for embodied agents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5716 LNCS, Issue , 2009, Pages 239-248

  Noceti, Nicoletta ^a   Caputo, Barbara ^b   Castellini, Claudio ^a   Baldassarre, Luca ^a   Barla, Annalisa ^a   Rosasco, Lorenzo ^a,c   Odone, Francesca ^a   Sandini, Giulio ^a,d  

^a UNIVERSITY OF GENOA   (Italy)

^b IDIAP Martigny ^*  (Switzerland)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Behavioural model; Multi modality; Objects and actions recognition; Regression theory; Visual and sensor motor patterns

Indexed keywords

ARTIFICIAL SYSTEMS; BEHAVIOURAL MODEL; EMBODIED AGENT; FUNDAMENTAL FEATURES; HIGH ROBUSTNESS; MOTION PATTERN; MULTI-MODAL; MULTI-MODALITY; OBJECTS AND ACTIONS RECOGNITION; THEORETICAL FRAMEWORK; TRANSFER OF INFORMATION;

BIOLOGICAL SYSTEMS; IMAGE ANALYSIS; MOTORS; SENSORS;

REGRESSION ANALYSIS;

EID: 76249109165     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04146-4_27     Document Type: Conference Paper

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