We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
This paper proposes a method for scheduling and buffer management in differentiated services networks which is based on JoBS algorithm. JoBS differentiates traffic classes base on ...
Mohammad Hossien Yaghmaee, Ghazale Khojasteh Tousi
Partially supervised segmentation, that is, segmentation with always incomplete training data has many practical applications in image analysis and retrieval. This paper proposes a...