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» A comparative study of two object recognition methods
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NIPS
2008
15 years 5 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
IDEAS
2006
IEEE
146views Database» more  IDEAS 2006»
15 years 10 months ago
Trajectory Similarity Search in Spatial Networks
In several applications, data objects are assumed to move on predefined spatial networks such as road segments, railways, invisible air routes. Moving objects may exhibit similar...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Ale...
EMNETS
2007
15 years 8 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
ICPR
2004
IEEE
16 years 5 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
MTA
2007
183views more  MTA 2007»
15 years 4 months ago
The design of a wireless real-time visual surveillance system
In this paper, we study the important issues in the design of an efficient WIreless real-time visual SurveillancE System (WISES). Two important considerations are to minimize: (1)...
Kam-yiu Lam, Calvin K. H. Chiu