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» Introduction to Pattern Recognition
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ICPR
2002
IEEE
16 years 5 months ago
The Combining Classifier: To Train or Not to Train?
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
Robert P. W. Duin
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 4 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
CIARP
2009
Springer
15 years 10 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
ICIP
2008
IEEE
15 years 10 months ago
Recaptured photo detection using specularity distribution
Detection of planar surfaces in a generic scene is difficult when the illumination is complex and less intense, and the surfaces have non-uniform colors (e.g., a movie poster). A...
Hang Yu, Tian-Tsong Ng, Qibin Sun