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» Learning from Highly Structured Data by Decomposition
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NIPS
2007
14 years 11 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
ICDE
2011
IEEE
243views Database» more  ICDE 2011»
14 years 1 months ago
Interactive SQL query suggestion: Making databases user-friendly
— SQL is a classical and powerful tool for querying relational databases. However, it is rather hard for inexperienced users to pose SQL queries, as they are required to be proï¬...
Ju Fan, Guoliang Li, Lizhu Zhou
ISVC
2005
Springer
15 years 3 months ago
3D Hand Pose Reconstruction with ISOSOM
Abstract. We present an appearance-based 3D hand posture estimation method that determines a ranked set of possible hand posture candidates from an unmarked hand image, based on an...
Haiying Guan, Matthew Turk
ISBI
2006
IEEE
15 years 10 months ago
Tracking the motion of the outer tips of microtubules
Microtubules play numerous critical roles in a cell such as providing structural tracks for the anchoring and movement of vesicles and chromosomes. Also, the assembly of microtubu...
Stathis Hadjidemetriou, Derek Toomre, James S. Dun...
SCIA
2009
Springer
140views Image Analysis» more  SCIA 2009»
15 years 4 months ago
Fast Prototype Based Noise Reduction
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
Kajsa Tibell, Hagen Spies, Magnus Borga