16 Result(s)
within
Hong-** Liang
Artificial Intelligence
Computer Science, general
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Article
Multi-cue-based face and facial feature detection on video segments
An approach is presented to detect faces and facial features on a video segment based on multi-cues, including gray-level distribution, color, motion, templates, algebraic features and so on. Faces are first d...
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Article
Integrating mRNA Decay Information into Co-Regulation Study
Absolute or relative transcript amounts measured through high-throughput technologies (e.g., microarrays) are now commonly used in bioinformatics analysis, such as gene clustering and DNA binding motif finding...
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Article
A new type of solution method for the generalized linear complementarity problem over a polyhedral cone
This paper addresses the generalized linear complementarity problem (GLCP) over a polyhedral cone. To solve the problem, we first equivalently convert the problem into an affine variational inequalities proble...
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Article
ArchSim: A System-Level Parallel Simulation Platform for the Architecture Design of High Performance Computer
High performance computer (HPC) is a complex huge system, of which the architecture design meets increasing difficulties and risks. Traditional methods, such as theoretical analysis, component-level simulation...
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Article
Physical Implementation of the Eight-Core Godson-3B Microprocessor
The Godson-3B processor is a powerful processor designed for high performance servers including Dawning Servers. It offers significantly improved performance over previous Godson-3 series CPUs by incorporating...
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Article
Partitioning the Conventional DBT System for Multiprocessors
Noticeable performance improvement via ever-increasing transistors is gradually trapped into a predicament since software cannot logically and efficiently utilize hardware resource, such as multi-core resource...
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Article
Mining Effective Temporal Specifications from Heterogeneous API Data
Temporal specifications for Application Programming Interfaces (APIs) serve as an important basis for many defect detection tools. As these specifications are often not well documented, various approaches have...
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Article
Satisfiability with Index Dependency
We study the Boolean satisfiability problem (SAT) restricted on input formulas for which there are linear arithmetic constraints imposed on the indices of variables occurring in the same clause. This can be se...
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Article
Efficient Time Synchronization Approach for Wireless Communication Systems on GPP-Based Software-Defined Radio Platform
General purpose processer (GPP) based software-defined radio (SDR) platforms provide wireless communication system engineers with maximal architecture flexibility and versatility to construct a wideband wirele...
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Article
Detecting network communities using regularized spectral clustering algorithm
The progressively scale of online social network leads to the difficulty of traditional algorithms on detecting communities. We introduce an efficient and fast algorithm to detect community structure in social...
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Article
Cooperative Computing Techniques for a Deeply Fused and Heterogeneous Many-Core Processor Architecture
Due to advances in semiconductor techniques, many-core processors have been widely used in high performance computing. However, many applications still cannot be carried out efficiently due to the memory wall,...
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Article
Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey
Tremendous amount of data are being generated and saved in many complex engineering and social systems every day. It is significant and feasible to utilize the big data to make better decisions by machine lear...
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Article
A Task Allocation Method for Stream Processing with Recovery Latency Constraint
Stream processing applications continuously process large amounts of online streaming data in real time or near real time. They have strict latency constraints. However, the continuous processing makes them vu...
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Chapter and Conference Paper
Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning
In recent years, rapid growth of motorcycles enables a large number of traffic accidents. Hence, how to manage the traffic flow has been a hot topic. In this paper, we propose a method for recognizing and coun...
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Article
Open AccessCausal Reasoning Meets Visual Representation Learning: A Prospective Study
Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis, human-computer interaction, and urban computing. Due ...
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Article
Effective skeleton topology and semantics-guided adaptive graph convolution network for action recognition
Most of the existing graph convolutional network-based action recognition methods use an adaptive mechanism to learn action features from a skeleton sequence. Although this mechanism improves the recognition a...
