26 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Pattern Recognition
Zhigang **
Computer Science
-
Chapter and Conference Paper
Event Detection with Convolutional Neural Networks for Forensic Investigation
Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital...
-
Chapter and Conference Paper
A Novel Recommendation Service Method Based on Cloud Model and User Personality
The number of Internet Web services has become increasingly large recently. Cloud services consumers face a critical challenge in selecting services from abundant candidates. Due to the uncertainty of Web serv...
-
Chapter and Conference Paper
Hypergraph-Based Data Reduced Scheduling Policy for Data-Intensive Workflow in Clouds
Data-intensive computing is expected to be the next-generation IT computing paradigm. Data-intensive workflows in clouds are becoming more and more popular. How to schedule data-intensive workflow efficiently ...
-
Chapter and Conference Paper
Cross-Layer Convolutional Siamese Network for Visual Tracking
In most trackers for visual tracking, Siamese network based trackers construct a pair of twin structures to learn a similarity metric between tracked object and search region to predict the position of the obj...
-
Chapter and Conference Paper
Logit Distillation via Student Diversity
Knowledge distillation (KD) is a technique of transferring the knowledge from a large teacher network to a small student network. Current KD methods either make a student mimic diverse teachers with knowledge ...
-
Chapter and Conference Paper
AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer
In sim-to-real task, domain adaptation is one of the basic challenge topic as it can reduce the huge performance variation caused by domain shift. Domain adaptation can effectively transfer knowledge from a la...
