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CVPR
2004
IEEE
15 years 12 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko
INFOCOM
2005
IEEE
15 years 3 months ago
Bayesian packet loss detection for TCP
— One of TCP’s critical tasks is to determine which packets are lost in the network, as a basis for control actions (flow control and packet retransmission). Modern TCP implem...
Nahur Fonseca, Mark Crovella
MOBIHOC
2009
ACM
15 years 10 months ago
Secure multidimensional range queries in sensor networks
Most future large-scale sensor networks are expected to follow a two-tier architecture which consists of resource-rich master nodes at the upper tier and resource-poor sensor node...
Rui Zhang, Jing Shi, Yanchao Zhang
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
15 years 10 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
15 years 7 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy