Matthai Philipose
Matthai Philipose
Researcher, Microsoft
Verified email at
Cited by
Cited by
Inferring activities from interactions with objects
M Philipose, KP Fishkin, M Perkowitz, DJ Patterson, D Fox, H Kautz, ...
IEEE pervasive computing 3 (4), 50-57, 2004
Mapping and localization with RFID technology
D Hahnel, W Burgard, D Fox, K Fishkin, M Philipose
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
Inertially controlled switch and RFID tag
JR Smith, M Philipose
US Patent 7,336,184, 2008
Fine-grained activity recognition by aggregating abstract object usage
DJ Patterson, D Fox, H Kautz, M Philipose
Ninth IEEE International Symposium on Wearable Computers (ISWC'05), 44-51, 2005
A long-term evaluation of sensing modalities for activity recognition
B Logan, J Healey, M Philipose, EM Tapia, S Intille
International conference on Ubiquitous computing, 483-500, 2007
A scalable approach to activity recognition based on object use
J Wu, A Osuntogun, T Choudhury, M Philipose, JM Rehg
2007 IEEE 11th international conference on computer vision, 1-8, 2007
Recognizing daily activities with RFID-based sensors
M Buettner, R Prasad, M Philipose, D Wetherall
Proceedings of the 11th international conference on Ubiquitous computing, 51-60, 2009
Battery-free wireless identification and sensing
M Philipose, JR Smith, B Jiang, A Mamishev, S Roy, K Sundara-Rajan
IEEE Pervasive computing 4 (1), 37-45, 2005
Real-time video analytics: The killer app for edge computing
G Ananthanarayanan, P Bahl, P Bodík, K Chintalapudi, M Philipose, ...
computer 50 (10), 58-67, 2017
Unsupervised activity recognition using automatically mined common sense
D Wyatt, M Philipose, T Choudhury
AAAI 5, 21-27, 2005
Fast, effective dynamic compilation
J Auslander, M Philipose, C Chambers, SJ Eggers, BN Bershad
ACM SIGPLAN Notices 31 (5), 149-159, 1996
RFID-based techniques for human-activity detection
JR Smith, KP Fishkin, B Jiang, A Mamishev, M Philipose, AD Rea, S Roy, ...
Communications of the ACM 48 (9), 39-44, 2005
Mcdnn: An approximation-based execution framework for deep stream processing under resource constraints
S Han, H Shen, M Philipose, S Agarwal, A Wolman, A Krishnamurthy
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
Live video analytics at scale with approximation and delay-tolerance
H Zhang, G Ananthanarayanan, P Bodik, M Philipose, P Bahl, ...
14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017
Mining models of human activities from the web
M Perkowitz, M Philipose, K Fishkin, DJ Patterson
Proceedings of the 13th international conference on World Wide Web, 573-582, 2004
System and method for performing selective dynamic compilation using run-time information
C Chambers, SJ Eggers, BK Grant, M Mock, M Philipose
US Patent 6,427,234, 2002
DyC: an expressive annotation-directed dynamic compiler for C
B Grant, M Mock, M Philipose, C Chambers, SJ Eggers
Theoretical Computer Science 248 (1-2), 147-199, 2000
Energy characterization and optimization of image sensing toward continuous mobile vision
R LiKamWa, B Priyantha, M Philipose, L Zhong, P Bahl
Proceeding of the 11th annual international conference on Mobile systems …, 2013
Common sense based joint training of human activity recognizers
SWW Pentney, AM Popescu, T Choudhury, M Philipose
Proceedings of the 20th international joint conference on artificial …, 2007
Energy scavenging for inductively coupled passive RFID systems
B Jiang, JR Smith, M Philipose, S Roy, K Sundara-Rajan, AV Mamishev
IEEE Transactions on Instrumentation and Measurement 56 (1), 118-125, 2007
The system can't perform the operation now. Try again later.
Articles 1–20