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» Enhancements for Local Feature Based Image Classification
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CIKM
2010
Springer
13 years 6 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
JIPS
2007
92views more  JIPS 2007»
13 years 7 months ago
Optimization of Domain-Independent Classification Framework for Mood Classification
In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naïve Bayesian classification algorithms. The architecture of our s...
Sung-Pil Choi, Yuchul Jung, Sung-Hyon Myaeng
IEAAIE
2007
Springer
14 years 1 months ago
Phase-Based Feature Matching Under Illumination Variances
The problem of matching feature points in multiple images is difficult to solve when their appearance changes due to illumination variance, either by lighting or object motion. In ...
Masaaki Nishino, Atsuto Maki, Takashi Matsuyama
ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
INFORMATICALT
2008
104views more  INFORMATICALT 2008»
13 years 7 months ago
An Efficient Technique to Detect Visual Defects in Particleboards
This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is ...
Jonas Guzaitis, Antanas Verikas