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» Learning Models for Object Recognition
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FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 4 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...
NAACL
2007
14 years 11 months ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu
ACL
2008
14 years 11 months ago
Grounded Language Modeling for Automatic Speech Recognition of Sports Video
Grounded language models represent the relationship between words and the non-linguistic context in which they are said. This paper describes how they are learned from large corpo...
Michael Fleischman, Deb Roy
ICDAR
2009
IEEE
15 years 4 months ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
124
Voted
PSIVT
2007
Springer
354views Multimedia» more  PSIVT 2007»
15 years 4 months ago
Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active Learning
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
Hardy Francke, Javier Ruiz-del-Solar, Rodrigo Vers...