We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Abstract—We propose a model-based spatial layer bit allocation algorithm for H.264/SVC in this work. The spatial scalability of H.264/SVC is achieved by a multi-layer approach, w...
Jiaying Liu, Yongjin Cho, Zongming Guo, C. C. Jay ...
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses th...
ESSENCE is a hash function submitted to the NIST Hash Competition that stands out as a hardware-friendly and highly parallelizable design. Previous analysis showed some non-randomn...
Background: Tangle analysis has been applied successfully to study proteins which bind two segments of DNA and can knot and link circular DNA. We show how tangle analysis can be e...
Isabel K. Darcy, Jeff Chang, Nathan Druivenga, Col...