In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the avera...
In this paper, we propose a novel storage requirement estimation methodology for use in the early system design phases when the data transfer ordering is only partially fixed. At ...
Per Gunnar Kjeldsberg, Francky Catthoor, Einar J. ...
A statistical technique X-IDDQ for extracting defect information from IDDQ data is presented that is effective for detection of defects in ICs. The technique treats the IDDQ measu...
Ashutosh Sharma, Anura P. Jayasumana, Yashwant K. ...
A perturbation model for generating synthetic textlines from existing cursively handwritten lines of text produced by human writers is presented. Our purpose is to improve the per...
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...