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TIP
2010
155views more  TIP 2010»
15 years 3 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
IJFCS
2006
70views more  IJFCS 2006»
15 years 4 months ago
The Computational Complexity of Avoiding Forbidden Submatrices by Row Deletions
We initiate a systematic study of the Row Deletion(B) problem on matrices: Given an input matrix A and a fixed "forbidden submatrix" B, the task is to remove a minimum n...
Sebastian Wernicke, Jochen Alber, Jens Gramm, Jion...
ICCV
2007
IEEE
16 years 6 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...
ICCV
2007
IEEE
16 years 6 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
EUROSSC
2007
Springer
15 years 10 months ago
The Design of a Pressure Sensing Floor for Movement-Based Human Computer Interaction
This paper addresses the design of a large area, high resolution, networked pressure sensing floor with primary application in movement-based human-computer interaction (M-HCI). T...
Sankar Rangarajan, Assegid Kidané, Gang Qia...