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» Abduction in Classification Tasks
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IUI
2012
ACM
13 years 5 months ago
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
Recent computer vision approaches are aimed at richer image interpretations that extend the standard recognition of objects in images (e.g., cars) to also recognize object attribu...
William Curran, Travis Moore, Todd Kulesza, Weng-K...
WWW
2008
ACM
15 years 11 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
CVPR
2009
IEEE
16 years 5 months ago
Histogram-based Interest Point Detectors
We present a new method for detecting interest points using histogram information. Unlike existing interest point detectors, which measure pixel-wise differences in image intens...
Wei-Ting Lee (National Tsing Hua University), Hwan...
CVPR
2003
IEEE
16 years 10 days ago
A Sparse Texture Representation Using Affine-Invariant Regions
This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ICCV
2003
IEEE
16 years 7 days ago
On the Use of Marginal Statistics of Subband Images
A commonly used representation of a visual pattern is the set of marginal probability distributions of the output of a bank of filters (Gaussian, Laplacian, Gabor etc...). This re...
Joshua Gluckman