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» Robust Algorithms for Object Localization
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ISBI
2009
IEEE
15 years 9 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski
AINA
2005
IEEE
15 years 8 months ago
Nodes Localization through Data Fusion in Sensor Network
The Location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem i...
Ren C. Luo, Ogst Chen, Liang Chao Tu
CVPR
2009
IEEE
15 years 5 months ago
Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes
Since the pioneering work of Gibson in 1950, ShapeFrom-Texture has been considered by researchers as a hard problem, mainly due to restrictive assumptions which often limit its ap...
Fabio Galasso, Joan Lasenby
IEEEPACT
2009
IEEE
15 years 9 months ago
Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
Qingda Lu, Jiang Lin, Xiaoning Ding, Zhao Zhang, X...
139
Voted
ECCV
2004
Springer
16 years 4 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...