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» Feature Mining for Image Classification
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ICASSP
2007
IEEE
14 years 1 months ago
Importance of Feature Locations in Bag-of-Words Image Classification
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
Nevena Lazic, Parham Aarabi
CVPR
2010
IEEE
13 years 11 months ago
Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy
In this paper, we present a 3D X-Ray Transform based multilinear feature extraction and classification method for Digital Multi-focal Images (DMI). In such images, morphological i...
Min Liu, Amit Roy-Chowdhury
ECCV
2006
Springer
14 years 9 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
ICIP
2001
IEEE
14 years 9 months ago
Indoor vs outdoor classification of consumer photographs using low-level and semantic features
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
Jiebo Luo, Andreas E. Savakis
ICPR
2002
IEEE
14 years 9 days ago
Contour Features for Colposcopic Image Classification by Artificial Neural Networks
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...