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» Improving object classification using semantic attributes
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CVPR
2012
IEEE
11 years 10 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
CASCON
1996
140views Education» more  CASCON 1996»
13 years 9 months ago
Improving cohesiveness and flexibility in systems management architectures using distributed object technologies over the intern
Management applications are sensitive to changes in application and system configuration. This coupling makes it difficult and expensive to develop management applications and kee...
Asham El Rayess, Vidar Vetland, Jerome A. Rolia, J...
ACCV
2010
Springer
13 years 2 months ago
Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting
The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles...
Chunjie Zhang, Jing Liu, Jinqiao Wang, Qi Tian, Ch...
LREC
2010
200views Education» more  LREC 2010»
13 years 9 months ago
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis
Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. Our conjecture is that by combining...
Polina Panicheva, John Cardiff, Paolo Rosso
ICPR
2008
IEEE
14 years 9 months ago
Semantic grouping of visual features
Many current object class models build on visual parts that constitute an object. However, visually different entities may actually refer to the same object part. This may be harm...
Alexandra Teynor, Hans Burkhardt