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TMI
2010
172views more  TMI 2010»
13 years 4 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
ICIP
2006
IEEE
14 years 7 months ago
A Multi-View Video Codec Based on H.264
H.264 is the current state-of-the-art monoscopic video codec providing almost twice the coding efficiency with the same quality comparing the previous codecs. With the increasing ...
Cagdas Bilen, Anil Aksay, Gozde Bozdagi Akar
ECCV
2008
Springer
13 years 8 months ago
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
Raj Gupta, Anurag Mittal
CGF
2008
156views more  CGF 2008»
13 years 6 months ago
Render2MPEG: A Perception-based Framework Towards Integrating Rendering and Video Compression
Currently 3D animation rendering and video compression are completely independent processes even if rendered frames are streamed on-the-fly within a client-server platform. In suc...
Robert Herzog, Shin-ichi Kinuwaki, Karol Myszkowsk...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 23 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson