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» On Feature Extraction via Kernels
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EVOW
2007
Springer
15 years 9 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague
168
Voted
MMM
2010
Springer
230views Multimedia» more  MMM 2010»
16 years 2 months ago
Learning Landmarks by Exploiting Social Media
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Y...
158
Voted
ECCV
2004
Springer
15 years 10 months ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan
191
Voted
MMS
2006
15 years 5 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...
152
Voted
SMA
2005
ACM
201views Solid Modeling» more  SMA 2005»
15 years 10 months ago
Fast and robust detection of crest lines on meshes
We propose a fast and robust method for detecting crest lines on surfaces approximated by dense triangle meshes. The crest lines, salient surface features defined via first- and...
Shin Yoshizawa, Alexander G. Belyaev, Hans-Peter S...