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DICTA
2009
13 years 8 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
PAMI
2012
11 years 10 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
BMVC
2000
13 years 9 months ago
Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Kieron Messer, Josef Kittler
CAIP
1995
Springer
101views Image Analysis» more  CAIP 1995»
13 years 11 months ago
Tools for Automatic Recognition of Character Strings in Maps
This paper describes tools for character string recognition on maps. Single character recognition is performed using elliptical Fourier descriptors applying a statistical classi er...
Line Eikvil, Kjersti Aas, Marit Holden
EPS
1998
Springer
13 years 12 months ago
Genetic Programming for Automatic Target Classification and Recognition
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
Stephen A. Stanhope, Jason M. Daida