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CVPR
2011
IEEE
13 years 12 days ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
CVPR
2010
IEEE
14 years 5 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
AGI
2011
13 years 9 days ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
SG
2009
Springer
14 years 3 months ago
Feature-Driven Volume Fairing
Abstract. Volume datasets have been a primary representation for scientific visualization with the advent of rendering algorithms such as marching cubes and ray casting. Nonethele...
Shigeo Takahashi, Jun Kobayashi, Issei Fujishiro
EUROMICRO
2007
IEEE
14 years 3 months ago
Perceived Effects of Pair Programming in an Industrial Context
We studied the perceived effects of pair programming (PP) compared to solo programming in a large scale, industrial software development context. We surveyed developers (N=28) reg...
Jari Vanhanen, Pekka Abrahamsson