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» Segments Matching Using a Neural Network Approach
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ECCV
2008
Springer
16 years 6 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
135
Voted
MICCAI
2001
Springer
15 years 9 months ago
Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features
In this article we merge point feature and intensity-based registration in a single algorithm to tackle the problem of multiple brain registration. Because of the high variability ...
Pascal Cachier, Jean-Francois Mangin, Xavier Penne...
ICDAR
2009
IEEE
15 years 2 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
ICASSP
2011
IEEE
14 years 8 months ago
Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...
144
Voted
EMMCVPR
2005
Springer
15 years 10 months ago
Brain Image Analysis Using Spherical Splines
We propose a novel technique based on spherical splines for brain surface representation and analysis. This research is strongly inspired by the fact that, for brain surfaces, it i...
Ying He 0001, Xin Li, Xianfeng Gu, Hong Qin