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MM
2006
ACM
152views Multimedia» more  MM 2006»
9 years 6 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
IJCNN
2007
IEEE
9 years 6 months ago
Image Classification Using Wavelet Coefficients in Low-pass Bands
— In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large...
Weibao Zou, Yan Li
ICPR
2006
IEEE
10 years 1 months ago
Supervised Image Classification by SOM Activity Map Comparison
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Grégoire Lefebvre, Christophe Laurent, Juli...
ICIP
2004
IEEE
10 years 1 months ago
Multi-label SVM active learning for image classification
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
Xuchun Li, Lei Wang, Eric Sung
CVPR
2007
IEEE
10 years 2 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ICCV
2009
IEEE
1038views Computer Vision» more  ICCV 2009»
10 years 5 months ago
Combining efficient object localization and image classification
In this paper we present a combined approach for ob- ject localization and classification. Our contribution is two- fold. (a) A contextual combination of localization and clas- ...
Hedi Harzallah, Frederic Jurie, Cordelia Schmid

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epurwoReader
PT. Danawa Nusa Sakti
epurwo

Publication
922views
10 years 7 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
CVPR
2009
IEEE
10 years 7 months ago
Simultaneous Image Classification and Annotation
Image classification and annotation are important problems in computer vision, but rarely considered together. Intuitively, annotations provide evidence for the class label, and...
Chong Wang, David M. Blei, Fei-Fei Li
CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
10 years 7 months ago
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n...
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huan...
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