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ICIP
2010
IEEE
15 years 4 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
3DOR
2010
15 years 1 months ago
A Robust 3D Interest Points Detector Based on Harris Operator
With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesti...
Ivan Sipiran, Benjamin Bustos
TSP
2011
96views more  TSP 2011»
15 years 1 months ago
A Signal Processing Approach to Fourier Analysis of Ranking Data: The Importance of Phase
—Ranking data is a type of data obtained in some elections, in customer surveys, as well as from web search results. Such data may be considered as a type of signal defined on t...
Ramakrishna Kakarala
ICLP
2011
Springer
14 years 10 months ago
Minimizing the overheads of dependent {AND}-parallelism
Parallel implementations of programming languages need to control synchronization overheads. Synchronization is essential for ensuring the correctness of parallel code, yet it add...
Peter Wang, Zoltan Somogyi
ICCV
2011
IEEE
14 years 6 months ago
Evaluation of Image Features Using a Photorealistic Virtual World
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requ...
Biliana Kaneva, Antonio Torralba, Bill Freeman