Self-information

Known as: Selfinformation, Self informing, Information content 
In information theory, self-information or surprisal is a measure of the information content associated with an event in a probability space or with… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1953-2018
020040019532017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
We present a family of scale-invariant local shape features formed by chains of k connected roughly straight contour segments… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
This article discusses a new idea called cognitive radar. Three ingredients are basic to the constitution of cognitive radar: 1… (More)
  • figure 1
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
A model of bottom-up overt attention is proposed based on the principle of maximizing information sampled from a scene. The… (More)
  • figure I
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
The utility of RFLP (restriction fragment length polymorphism), RAPD (random-amplified polymorphic DNA), AFLP (amplified fragment… (More)
  • table I
  • table 2
  • table 3
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
2000
Highly Cited
2000
Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Stock prices move together more in poor economies than in rich economies. This "nding is not due to market size and is only… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 2
  • figure 4
Is this relevant?
Highly Cited
1998
Highly Cited
1998
This paper presents a general trainable framework for object detection in static images of cluttered scenes. The detection… (More)
  • figure 3
  • figure 4
  • figure 5
  • figure 6
  • figure 7
Is this relevant?
Highly Cited
1997
Highly Cited
1997
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
Highly Cited
1995
Highly Cited
1995
This paper presents a new measure of semantic similarity in an is-a taxonomy, based on the notion of information content… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
1994
Highly Cited
1994
This paper investigates the application of the mutual information criterion to evaluate a set of candidate features and to select… (More)
  • table I
  • figure 1
  • table II
  • figure 2
  • figure 5
Is this relevant?