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» The quantitative single-neuron modeling competition
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VLSISP
1998
111views more  VLSISP 1998»
13 years 7 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
CMG
2006
13 years 9 months ago
Evaluation and comparison of search engines using the LSP method
We present a comprehensive model for quantitative evaluation and comparison of search engines. The model is based on the LSP method for system evaluation. The basic contribution of...
Jozo J. Dujmovic, Haishi Bai
IJBIS
2010
145views more  IJBIS 2010»
13 years 4 months ago
A multi-attribute group decision support system for information technology project selection
: The increasing intensity of global competition and the rapid advances in information technology (IT) have led organisations to search for more efficient and effective ways to man...
Faramak Zandi, Madjid Tavana
APIN
2000
116views more  APIN 2000»
13 years 7 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
ICCV
2011
IEEE
12 years 7 months ago
The Truth about Cats and Dogs
Template-based object detectors such as the deformable parts model of Felzenszwalb et al. [11] achieve state-ofthe-art performance for a variety of object categories, but are stil...
Omkar M Parkhi, Andrea Vedaldi, C. V. Jawahar, And...