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» Objective Functions for Feature Discrimination
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HVEI
2009
13 years 8 months ago
Crossmodal information for visual and haptic discrimination
Both our visual and haptic systems contribute to the perception of the three dimensional world, especially the proximal perception of objects. The interaction of these systems has...
Flip Phillips, Eric J. L. Egan
ICCV
2005
IEEE
15 years 26 days ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 8 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
ICPR
2008
IEEE
14 years 5 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
TIP
2010
97views more  TIP 2010»
13 years 5 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...