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» A Comparative Evaluation of Term Recognition Algorithms
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SIGIR
2002
ACM
15 years 3 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
ESWA
2007
136views more  ESWA 2007»
15 years 4 months ago
Semantic-based facial expression recognition using analytical hierarchy process
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu...
ICCV
2009
IEEE
16 years 9 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
BMCBI
2004
122views more  BMCBI 2004»
15 years 4 months ago
A comprehensive comparison of comparative RNA structure prediction approaches
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Paul P. Gardner, Robert Giegerich
MVA
2007
160views Computer Vision» more  MVA 2007»
15 years 5 months ago
Investigation of Color Spaces for Face Recognition
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
Seunghwan Yoo, Rae-Hong Park, Dong-Gyu Sim