Results 1 - 10 of 12,878

A social-cognitive approach to motivation and personality

by Carol S. Dweck, Ellen L. Leggett - Psychological Review , 1988
"... Past work has documented and described major patterns of adaptive and maladaptive behavior: the mastery-oriented and the helpless patterns. In this article, we present a research-based model that accounts for these patterns in terms of underlying psychological processes. The model specifies how indi ..."
Abstract - Cited by 964 (20 self) - Add to MetaCart
major patterns of behavior and link them to underlying psychological processes. In this article we (a) describe a re-search-based model that accounts for major patterns of behav-ior, (b) examine the generality of this model—its utility for un-derstanding domains beyond the ones in which

Space-time Interest Points

by Ivan Laptev, Tony Lindeberg - IN ICCV , 2003
"... Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be use ..."
Abstract - Cited by 819 (21 self) - Add to MetaCart
Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can

Hidden Markov models in computational biology: applications to protein modeling

by Anders Krogh, Michael Brown, I. Saira Mian, Kimmen Sjölander, David Haussler - JOURNAL OF MOLECULAR BIOLOGY , 1994
"... Hidden.Markov Models (HMMs) are applied t.0 the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated the on globin family, the protein kinase catalytic domain, and the EF-hand calcium binding moti ..."
Abstract - Cited by 655 (39 self) - Add to MetaCart
Hidden.Markov Models (HMMs) are applied t.0 the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated the on globin family, the protein kinase catalytic domain, and the EF-hand calcium binding

The capacity of wireless networks

by Piyush Gupta, P. R. Kumar - IEEE TRANSACTIONS ON INFORMATION THEORY , 2000
"... When n identical randomly located nodes, each capable of transmitting at bits per second and using a fixed range, form a wireless network, the throughput @ A obtainable by each node for a randomly chosen destination is 2 bits per second under a noninterference protocol. If the nodes are optimally p ..."
Abstract - Cited by 3243 (42 self) - Add to MetaCart
placed in a disk of unit area, traffic patterns are optimally assigned, and each transmission’s range is optimally chosen, the bit–distance product that can be transported by the network per second is 2 @ A bit-meters per second. Thus even under optimal circumstances, the throughput is only 2 bits per

Ecology of the family as a context for human development: Research perspectives.

by Urie Bronfenbrenner , Josephine Arastah , Mavis Hetherington , Richard Lerner , Jeylan T Mortimer , Joseph H Pleck , Lea Pulkinnen , Michael Rutter , Klaus Schneewind , Diana Slaughter - Developmental Psychology, , 1986
"... This review collates and examines critically a theoretically convergent but widely dispersed body of research on the influence of external environments on the functioning of families as contexts of human development. Investigations falling within this expanding domain include studies of the interac ..."
Abstract - Cited by 518 (0 self) - Add to MetaCart
This review collates and examines critically a theoretically convergent but widely dispersed body of research on the influence of external environments on the functioning of families as contexts of human development. Investigations falling within this expanding domain include studies

Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction

by Mary Elaine Califf, Raymond J. Mooney, David Cohn , 2003
"... Information extraction is a form of shallow text processing that locates a specified set of relevant items in a natural-language document. Systems for this task require significant domain-specific knowledge and are time-consuming and difficult to build by hand, making them a good application for ..."
Abstract - Cited by 406 (20 self) - Add to MetaCart
programming systems. We have implemented the algorithm in a system that allows patterns to have constraints on the words, part-of-speech tags, and semantic classes present in the filler and the surrounding text. We present encouraging experimental results on two domains.

SPADE: An efficient algorithm for mining frequent sequences

by Mohammed J. Zaki - Machine Learning , 2001
"... Abstract. In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex hash structures which have poor locality. SPADE utilizes combinatorial properties to decompose the original proble ..."
Abstract - Cited by 437 (16 self) - Add to MetaCart
Abstract. In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex hash structures which have poor locality. SPADE utilizes combinatorial properties to decompose the original

Automatically Generating Extraction Patterns from Untagged Text

by Ellen Riloff - Department of Computer Science, Graduate School of Arts and Science, New York University , 1996
"... Many corpus-based natural language processing systems rely on text corpora that have been manually annotated with syntactic or semantic tags. In particular, all previous dictionary construction systems for information extraction have used an annotated training corpus or some form of annotated input. ..."
Abstract - Cited by 373 (32 self) - Add to MetaCart
it with statistical techniques, we eliminated its dependency on tagged text. In experiments with the MUG-4 terrorism domain, AutoSlog-TS created a dictionary of extraction patterns that performed comparably to a dictionary created by AutoSlog, using only preclassified texts as input.

Frequent Subgraph Discovery

by Michihiro Kuramochi, George Karypis , 2001
"... Over the years, frequent itemset discovery algorithms have been used to solve various interesting problems. As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the requirement of th ..."
Abstract - Cited by 406 (10 self) - Add to MetaCart
of these domains. An alternate way of modeling the objects in these data sets, is to use a graph to model the database objects. Within that model, the problem of finding frequent patterns becomes that of discovering subgraphs that occur frequently over the entire set of graphs. In this paper we present a

A general framework for object detection

by Constantine P. Papageorgiou, Michael Oren, Tomaso Poggio - Sixth International Conference on , 1998
"... This paper presents a general trainable framework for object detection in static images of cluttered scenes. The detection technique we develop is based on a wavelet representation of an object class derived from a statistical analysis of the class instances. By learning an object class in terms of ..."
Abstract - Cited by 395 (21 self) - Add to MetaCart
in unconstrained environments. We demonstrate the capabilities of the technique in two domains whose inherent information content differs significantly. The first system is face detection and the second is the domain of people which, in contrast to faces, vary greatly in color, texture, and patterns. Unlike
Results 1 - 10 of 12,878