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» Conditional random fields for activity recognition
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NIPS
2008
13 years 9 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
ICPR
2010
IEEE
13 years 6 months ago
Face Recognition At-A-Distance Using Texture, Dense and Sparse-Stereo Reconstruction
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine corr...
Ham Rara, Asem Ali, Shireen Elhabian, Aly A. Farag
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 2 months ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
EMNLP
2008
13 years 9 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso