Machine learning, pattern recognition, and sensor driven applications play out behind the scenes.
Signature tree "machine learning", pattern recognition heuristics are investigated for the specific problem of computer recognition of human speech.
Various applications of AI in everyday life include machine learning, pattern recognition, robotics, data processing and analysis, etc.
Nonlinear dimensionality reduction is a challenging problem encountered in a variety of high dimensional data analysis, including machine learning, pattern recognition, scientific visualization, and neural computation.
We investigated whether functional network connectivity (FNC) measures were predictive of substance abuse treatment completion using machine learning pattern classification of functional magnetic resonance imaging data.
Many are working at the cutting edge of high-performance computing (HPC, i.e. scientific computing) and high-performance data analytics (HPDA, i.e. machine learning, pattern matching, and massive-scale search) applications.
We believe the researchers / developers from the following areas can benefit a lot from using VisGenie: image processing, computer vision, machine learning, pattern recognition, video coding, transcoding, retrieval, understanding, management, etc.
In this paper, we report a hardware/software (HW/SW) co-designed K-means clustering algorithm with high flexibility and high performance for machine learning, pattern recognition and multimedia applications.
It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others.
As a professor at Tsinghua University, Bo Zhang's research interests include AI, machine learning, pattern recognition, knowledge engineering, and robotics.
