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» The Dark Side of Object Learning: Learning Objects
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ECAI
2004
Springer
14 years 2 months ago
Attention-Driven Parts-Based Object Detection
Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, ...
Ilkka Autio, Jussi T. Lindgren
CLOR
2006
14 years 26 days ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ASWC
2008
Springer
13 years 11 months ago
Integrating Lightweight Reasoning into Class-Based Query Refinement for Object Search
More and more RDF data have been published online to be consumed. Ordinary Web users also expect to experience more intelligent services promised by the Semantic Web, such as objec...
Gong Cheng, Yuzhong Qu
DAGSTUHL
2006
13 years 10 months ago
A System for Object Class Detection
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
Daniela Hall
DICTA
2009
13 years 10 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo