… on how to schedule workloads to share GPU by multiple concurrent workloads efficiently. …
to a graph matching problem, we adopt maximum weight graph matching algorithm. We …

… kernel and we show that this kernel satisfies the Mercer condition so we can use it for support
vector machine training and other kernel … The pyramid match kernel: Efficient learning with …

… efficient codes for large scale data of general formats with any kernel function, including
kernels … graph data; pyramid matching and spatial pyramid matching kernels [24] are proposed …

… SVMs (henceforth referred to as IKSVMs) have become popular with the introduction of
pyramid match kernel [20] and spatial pyramid match kernel [32] for object detection and image …

… additive kernel functions, we further develop the novel and effective bound functions to efficiently
evaluate the kernel … search, pattern matching, and kernel methods for machine learning. …

… We give a method to compute sparse features for arbitrary kernels, … kernel and extending
it to arbitrary additive kernels. We show that bundle optimisation methods can handle efficiently …

… One unique contribution of our approach is the novel formulation of kernel matrix learning
problem leading to an efficient quadratic programming solution, with much lower complexity …

… the subgraph matching kernel we extend the approach by means of a weighted product
graph, where vertices and edges are annotated with the values of κV and κE, respectively. Each …

… , CUB-200, we combine Efficient match kernel (EMK) with the … can also be viewed as kernel
matching approach, EMK digs … verify the effectiveness of efficient matching kernel (EMK) for …

… the development of an efficient matching algorithm for a natural … match costs are computed
using a convolution kernel composed of a “match” rectangle embedded in a larger “no match…