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» A Homogeneous Framework for Visual Recognition
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MM
2004
ACM
178views Multimedia» more  MM 2004»
14 years 1 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
PAMI
2012
11 years 10 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
VIS
2004
IEEE
222views Visualization» more  VIS 2004»
14 years 9 months ago
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
Alexandra La Cruz, Matús Straka, Arnold K&o...
CIVR
2005
Springer
160views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Story Segmentation in News Videos Using Visual and Text Cues
Abstract. In this paper, we present a framework for segmenting the news programs into different story topics. The proposed method utilizes both visual and text information of the v...
Yun Zhai, Alper Yilmaz, Mubarak Shah
CVPR
2012
IEEE
11 years 10 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...