Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Parameter variation in integrated circuits causes sections of a chip to be slower than others. If, to prevent any resulting timing errors, we design processors for worst-case para...
Smruti R. Sarangi, Brian Greskamp, Abhishek Tiwari...
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
The high leakage current in nano-meter regimes is becoming a significant portion of power dissipation in CMOS circuits as threshold voltage, channel length, and gate oxide thickne...
Amit Agarwal, Chris H. Kim, Saibal Mukhopadhyay, K...