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PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 8 months ago
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation
We present a method for distinguishing two subtly different mental states, on the basis of the underlying brain activation measured with fMRI. The method uses a classifier to lea...
Francisco Pereira, Marcel Just, Tom M. Mitchell
132
Voted
AAAI
1994
15 years 4 months ago
Retrieving Semantically Distant Analogies with Knowledge-Directed Spreading Activation
Techniques that traditionally have been useful for retrieving same-domain analogies from small single-use knowledge bases, such as spreading activation and indexing on selected fe...
Michael Wolverton, Barbara Hayes-Roth
153
Voted
COLING
2010
14 years 10 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang
CVPR
2003
IEEE
16 years 5 months ago
Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
Lei Wang, Kap Luk Chan, Zhihua Zhang
ICIP
2001
IEEE
16 years 5 months ago
Facial parameter extraction system based on active contours
This paper addresses the application of active contours or snakes for location and tracking of facial features. Conventional snake approaches find the position of the snake by fin...
Montse Pardàs, Marcos Losada