2004 - IEEE Fellow For contributions to variational methods in information theory, signal processing, and compression.
Philip A. Chou mainly focuses on Artificial intelligence, Computer network, Algorithm, Pattern recognition and Multicast. His work carried out in the field of Artificial intelligence brings together such families of science as Speech recognition, Computer vision and Markov model. The study incorporates disciplines such as Wireless network, Scalability, The Internet and Distributed computing in addition to Computer network.
His Distributed computing research includes elements of Algorithm design, Network packet, Linear network coding and Berlekamp–Welch algorithm. His biological study spans a wide range of topics, including Parse tree and Parsing. His Pattern recognition research is multidisciplinary, incorporating elements of Glyph, Iterative method, Image and Cluster analysis.
Philip A. Chou mostly deals with Artificial intelligence, Computer network, Algorithm, Computer vision and Decoding methods. Artificial intelligence is closely attributed to Pattern recognition in his work. His Computer network study combines topics in areas such as The Internet and Distributed computing.
His Algorithm study deals with Point cloud intersecting with Wavelet. Philip A. Chou combines subjects such as Theoretical computer science, Encoder, Channel, Markov chain and Hidden Markov model with his study of Decoding methods. His Network packet research is multidisciplinary, incorporating perspectives in Real-time computing, Error detection and correction and Signal.
His primary areas of study are Artificial intelligence, Computer vision, Point cloud, Algorithm and Rendering. Much of his study explores Artificial intelligence relationship to Codec. His Computer vision research includes themes of Distortion and Computer graphics.
His Algorithm study integrates concerns from other disciplines, such as Transform coding and Encoder. His work deals with themes such as Overlay network, Quality of experience, Enhanced Data Rates for GSM Evolution, Computer network and Packet loss, which intersect with Cloud computing. Philip A. Chou has included themes like Data-driven, Computation and Selection in his Computer network study.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Point cloud, Algorithm and Object. As part of the same scientific family, Philip A. Chou usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with Probabilistic framework. His Computer vision research is multidisciplinary, relying on both Representation, Graph and Computer graphics.
His research on Point cloud also deals with topics like
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Distributing streaming media content using cooperative networking
Venkata N. Padmanabhan;Helen J. Wang;Philip A. Chou;Kunwadee Sripanidkulchai.
network and operating system support for digital audio and video (2002)
Polynomial time algorithms for multicast network code construction
S. Jaggi;P. Sanders;P.A. Chou;M. Effros.
IEEE Transactions on Information Theory (2005)
Information Exchange in Wireless Networks with Network Coding and Physical-layer Broadcast
Yunnan Wu;Philip A. Chou;Sun-Yuan Kung.
conference on information sciences and systems (2004)
Rate-distortion optimized streaming of packetized media
P.A. Chou;Zhourong Miao.
IEEE Transactions on Multimedia (2006)
Entropy-constrained vector quantization
P.A. Chou;T. Lookabaugh;R.M. Gray.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
Resilient peer-to-peer streaming
V.N. Padmanabhan;H.J. Wang;P.A. Chou.
international conference on network protocols (2003)
Optimal pruning with applications to tree-structured source coding and modeling
P.A. Chou;T. Lookabaugh;R.M. Gray.
IEEE Transactions on Information Theory (1989)
Minimum-energy multicast in mobile ad hoc networks using network coding
Yunnan Wu;P.A. Chou;Sun-Yuan Kung.
information theory workshop (2004)
Holoportation: Virtual 3D Teleportation in Real-time
Sergio Orts-Escolano;Christoph Rhemann;Sean Fanello;Wayne Chang.
user interface software and technology (2016)
Optimal partitioning for classification and regression trees
IEEE Transactions on Pattern Analysis and Machine Intelligence (1991)
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