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NIPS
2001
13 years 9 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 1 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
ICB
2007
Springer
208views Biometrics» more  ICB 2007»
14 years 1 months ago
Face Matching Between Near Infrared and Visible Light Images
Abstract. In many applications, such as E-Passport and driver’s license, the enrollment of face templates is done using visible light (VIS) face images. Such images are normally ...
Dong Yi, Rong Liu, Rufeng Chu, Zhen Lei, Stan Z. L...
ICTAI
2002
IEEE
14 years 17 days ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang
PRICAI
2000
Springer
13 years 11 months ago
Text Retrieval from Document Images based on N-Gram Algorithm
In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of us...
Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu