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Displaying 1-7 out of 7 total
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Found in: IEEE Transactions on Affective Computing
By S. Koelstra,C. Muhl,M. Soleymani, Jong-Seok Lee,A. Yazdani,T. Ebrahimi,T. Pun,A. Nijholt,I. Patras
Issue Date:January 2012
pp. 18-31
We present a multimodal data set for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rate...
 
A Multimodal Database for Affect Recognition and Implicit Tagging
Found in: IEEE Transactions on Affective Computing
By M. Soleymani,J. Lichtenauer,T. Pun,M. Pantic
Issue Date:January 2012
pp. 42-55
MAHNOB-HCI is a multimodal database recorded in response to affective stimuli with the goal of emotion recognition and implicit tagging research. A multimodal setup was arranged for synchronized recording of face videos, audio signals, eye gaze data, and p...
 
Multimodal Emotion Recognition in Response to Videos
Found in: IEEE Transactions on Affective Computing
By M. Soleymani,M. Pantic,T. Pun
Issue Date:April 2012
pp. 211-223
This paper presents a user-independent emotion recognition method with the goal of recovering affective tags for videos using electroencephalogram (EEG), pupillary response and gaze distance. We first selected 20 video clips with extrinsic emotional conten...
 
A fuzzy clustering algorithm for finding arbitrary shaped clusters
Found in: Computer Systems and Applications, ACS/IEEE International Conference on
By M. Soleymani Baghshah, S. Bagheri Shouraki
Issue Date:April 2008
pp. 559-566
Until now, many algorithms have been introduced for finding arbitrary shaped clusters, but none of these algorithms is able to identify all sorts of cluster shapes and structures that are encountered in practice. Furthermore, the time complexity of the exi...
 
An agent-based clustering algorithm using potential fields
Found in: Computer Systems and Applications, ACS/IEEE International Conference on
By M. Soleymani Baghshah, S. Bagheri Shouraki, C. Lucas
Issue Date:April 2008
pp. 551-558
In this paper, a novel clustering algorithm using an agent-based architecture along with a force-based clustering algorithm is proposed. To this end, a set of simple mobile agents that have limited processing power is used. These agents communicate in a pa...
 
A Novel Fuzzy Approach to Recognition of Online Persian Handwriting
Found in: Intelligent Systems Design and Applications, International Conference on
By M. Soleymani Baghshah, S. Bagheri Shouraki, S. Kasaei
Issue Date:September 2005
pp. 268-273
Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. This paper presents a novel fuzzy approach for recognizing online Persian (Farsi) handwriting which is also useful for multi-writer environments. In this approach, ...
 
Finding Arbitrary Shaped Clusters and Color Image Segmentation
Found in: Image and Signal Processing, Congress on
By M. Soleymani Baghshah, S. Bagheri Shouraki
Issue Date:May 2008
pp. 593-597
One of the most famous approaches for the segmentation of color images is finding clusters in the color space. Shapes of these clusters are often complex and the time complexity of the existing algorithms for finding clusters of different shapes is usually...
 
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