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TMI
2010
172views more  TMI 2010»
13 years 7 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...
CVPR
2009
IEEE
15 years 4 months ago
What is a Camera?
This paper addresses the problem of characterizing a general class of cameras under reasonable, “linear” assumptions. Concretely, we use the formalism and terminology of cla...
Jean Ponce (Ecole Normale Superieure)

Source Code
2231views
15 years 2 months ago
The Berkeley Segmentation Engine (BSE)
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...
Charless Fowlkes
ICCV
2009
IEEE
1520views Computer Vision» more  ICCV 2009»
15 years 2 months ago
A Hand-held Photometric Stereo Camera for 3-D Modeling
This paper presents a simple yet practical 3-D modeling method for recovering surface shape and reflectance from a set of images. We attach a point light source to a hand-held c...
Tomoaki Higo, Yasuyuki Matsushita, Neel Joshi, Kat...
CVPR
2001
IEEE
14 years 11 months ago
Understanding Popout through Repulsion
Perceptual popout is defined by both feature similarity and local feature contrast. We identify these two measures with attraction and repulsion, and unify the dual processes of a...
Stella X. Yu, Jianbo Shi