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» Classifier Instability and Partitioning
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CVPR
2007
IEEE
14 years 9 months ago
Parameter Sensitive Detectors
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
CVPR
2006
IEEE
14 years 9 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
GCB
2004
Springer
126views Biometrics» more  GCB 2004»
14 years 1 months ago
Proteochemometrics Modeling of Receptor-Ligand Interactions Using Rough Sets
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...
H. Strömbergsson, Peteris Prusis, Herman Mide...
AAAI
2010
13 years 9 months ago
Bypassing Combinatorial Protections: Polynomial-Time Algorithms for Single-Peaked Electorates
For many election systems, bribery (and related) attacks have been shown NP-hard using constructions on combinatorially rich structures such as partitions and covers. It is import...
Felix Brandt, Markus Brill, Edith Hemaspaandra, La...
ICPR
2008
IEEE
14 years 2 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal