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CVPR
2006
IEEE
14 years 7 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
WAIM
2009
Springer
13 years 9 months ago
Kernel-Based Transductive Learning with Nearest Neighbors
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
Liangcai Shu, Jinhui Wu, Lei Yu, Weiyi Meng
IJCV
2007
145views more  IJCV 2007»
13 years 5 months ago
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
— This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
ICCAD
2009
IEEE
179views Hardware» more  ICCAD 2009»
13 years 3 months ago
Automatic memory partitioning and scheduling for throughput and power optimization
Hardware acceleration is crucial in modern embedded system design to meet the explosive demands on performance and cost. Selected computation kernels for acceleration are usually ...
Jason Cong, Wei Jiang, Bin Liu, Yi Zou
CODES
2009
IEEE
13 years 6 months ago
Efficient dynamic voltage/frequency scaling through algorithmic loop transformation
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis