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Nonnegative matrix factorization (NMF) is a hot topic in machine learning and data processing. Recently, a constrained version, non-smooth NMF (NsNMF), shows a great potential in learning meaningful sparse representation of the observed data. However, it suffers from a slow linear convergence rate, discouraging its applications to large-scale data representation. In this paper, a fast NsNMF (FNsNMF)...
Recent research has introduced load balancing schemes that are aware of the input data distribution (i.e., data profile) to mitigate data skew and fully exploit the parallel capability of the MapReduce framework to support record linkage. However, existing solutions face a significant scalability issue when applied to massive data sets with millions or billions of blocks (a basic unit in record linkage)...
An advanced development environment contributes to research process greatly. This paper presents a novel adaptive dynamic loading and unloading mechanism applied to development environment for image processing algorithm and two implementation methods of the mechanism. Based on the inherent characteristic of variable arguments of functions in programming language and explicit linking technique for...
Multi-resource sharings among virtual machines (VM)are very important in data center, but also bring contentions for cache, disk and network in host server. Recent studies focus primarily on locally optimizing resource sharings in a single server, or global optimization of mitigating cache and memory contentions. But it remains an open question how to efficiently find optimal co-schedules for cache,...
Data dissemination is an important technology for most VANET applications. Due to the physical factors like traffic lights, the density of vehicles is usually uneven. Areas near intersections often have a high node density while areas near the center of streets can have a very low node density. The uneven distribution of nodes and the movement pattern of vehicles cause intermittent connections and...
Data dependencies among tasks are inevitable and have an adverse effect on the parallelism of an application. Therefore, this paper addresses the problem of setting appropriate delays on each edge of a task graph representing an application to eliminate intra-iteration data dependencies so as to produce a prologue and epilogue as small as possible. Based on the principle of the retiming technique,...
Although parametric representations and reparameterizations are used, the bottleneck of symbolic simulation is still the blowup of BDDs which may grow rapidly with the increase of simulation steps. In this paper, we implement symbolic simulation using SAT solvers with variables partition which reduces the sizes of BDDs and remains enough coverage while lowering backtracks of SAT solvers. This method...
eDonkey has become the most reliable and popular P2P file sharing software with largest users. But currently it is still a problem that how to find resources you need exactly and quickly. The traditional searching method which is based on keywords cannot fulfill the needs of people. The effective and promising method is semantic searching. Semantic-based study has become one of hot spots in the nature...
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