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ICCV
2009
IEEE
15 years 5 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICIP
2004
IEEE
16 years 8 months ago
Scalable coding of variable size blocks motion vectors
In this paper we discuss an algorithm that is able to provide a scalable (multiresolution) representation of the motion field information. It has been recently demonstrated that, ...
Davide Maestroni, Augusto Sarti, Marco Tagliasacch...
MICCAI
2002
Springer
16 years 8 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
IWCMC
2006
ACM
16 years 1 months ago
Radio propagation patterns in wireless sensor networks: new experimental results
Wireless sensors use low power radio transceivers due to the stringent constraints on battery capacity. As a result, radio transmission with wireless sensors is unreliable. Furthe...
Tereus Scott, Kui Wu, Daniel Hoffman
SIGMOD
2010
ACM
166views Database» more  SIGMOD 2010»
15 years 2 months ago
FAST: fast architecture sensitive tree search on modern CPUs and GPUs
In-memory tree structured index search is a fundamental database operation. Modern processors provide tremendous computing power by integrating multiple cores, each with wide vect...
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eri...