In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text reg...
Rodolfo P. dos Santos, Gabriela S. Clemente, Ing R...
—Many emerging information processing applications require applying various fork and join type operations such as correlation, aggregation, and encoding/decoding to data streams ...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...
Abstract—In this paper the Shannon capacity of generalizedgamma (GG) fading channels is studied, under different adaptive transmission techniques. The GG is a generic distributio...
Petros S. Bithas, P. Takis Mathiopoulos, Stavros A...