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» Semantic kernel learning for interactive image retrieval
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CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
13 years 9 months ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
CIVR
2007
Springer
144views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Image retrieval on large-scale image databases
Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
Eva Hörster, Rainer Lienhart, Malcolm Slaney
CVPR
2005
IEEE
14 years 10 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
CVPR
2007
IEEE
14 years 10 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
ICMCS
2008
IEEE
120views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Using Semantic Graphs for Image Search
In this paper, we propose a Semantic Graphs for Image Search (SGIS) system, which provides a novel way for image search by utilizing collaborative knowledge in Wikipedia and netwo...
Jyh-Ren Shieh, Yang-Ting Yeh, Chih-Hung Lin, Ching...