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» Co-Tracking Using Semi-Supervised Support Vector Machines
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ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
16 years 10 days ago
Automatic Addressee Identification Based on Participants' Head Orientation and Utterances for Multiparty Conversations
We propose a method that uses the participants’ head orientation and utterances for automatically identifying the addressee of each utterance in face-to-face multiparty conversa...
Yoshinao Takemae, Shinji Ozawa
AVSS
2006
IEEE
15 years 10 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
ECIR
2010
Springer
15 years 7 months ago
A Framework for Evaluating Automatic Image Annotation Algorithms
Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated...
Konstantinos Athanasakos, Vassilios Stathopoulos, ...
ECCV
2000
Springer
16 years 8 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
157
Voted
ICIP
2002
IEEE
16 years 8 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim