We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
- This paper presents a precomputation-based guarding technique to reduce both dynamic and static power consumptions in CMOS VLSI circuits. More precisely, a high threshold sleep t...
Applications in mobile ad-hoc networks can suffer from poor link quality and degraded network services. In particular, standard TCP over low-quality, long routing paths, can have ...
Abstract— A Model Predictive Control (MPC) -based approach is presented for autonomous path following via Active Front Steering (AFS). We start from the Nonlinear MPC (NMPC) prob...
Giovanni Palmieri, Paolo Falcone, H. Eric Tseng, L...
We propose a dynamic faceted search system for discoverydriven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically s...
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia...