We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
- Traffic Engineering objective is to optimize network resource utilization. Although several works have been published about minimizing network resource utilization, few works hav...
— Small gates, such as AND2, XOR2 and MUX2, have been mixed with lookup tables (LUTs) inside the programmable logic block (PLB) to reduce area and power and increase performance ...