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» Unsupervised Learning of Models for Recognition
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CVPR
2009
IEEE
16 years 1 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
PAMI
2008
161views more  PAMI 2008»
15 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICONIP
1998
15 years 7 months ago
Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron
A rotation-invariant neocognitron, which has been recently proposed by authors, is trained by using hand-written numerical patterns provided by ETL-1 database. A new learning algo...
Shunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo...
AAAI
2006
15 years 7 months ago
Learning Systems of Concepts with an Infinite Relational Model
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...
BVAI
2007
Springer
16 years 15 days ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik