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107
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CVPR
2003
IEEE
16 years 2 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
SC
2000
ACM
15 years 5 months ago
A Comparison of Three Programming Models for Adaptive Applications on the Origin2000
Adaptive applications have computational workloads and communication patterns which change unpredictably at runtime, requiring dynamic load balancing to achieve scalable performan...
Hongzhang Shan, Jaswinder Pal Singh, Leonid Oliker...
DICTA
2008
15 years 2 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
131
Voted
IJCAI
1989
15 years 1 months ago
Building a World Model for a Mobile Robot Using Dynamic Semantic Constraints
We are developing a new paradigm for a world model construction system which interprets a scene and builds a world model for a mobile robot using dynamic semantic constraints. The...
Minoru Asada, Yoshiaki Shirai
92
Voted
NIPS
2007
15 years 2 months ago
Comparing Bayesian models for multisensory cue combination without mandatory integration
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
Ulrik Beierholm, Konrad P. Körding, Ladan Sha...