T Caelli
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Explore the profile of T Caelli including associated specialties, affiliations and a list of published articles.
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Articles
57
Citations
221
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Recent Articles
1.
Caelli T
Spat Vis
. 2001 Feb;
13(2-3):305-14.
PMID: 11198241
In this paper we discuss image understanding and object recognition as a class of processes which involve binding what is seen with what is known. It follows from this perspective...
2.
Rentschler I, Caelli T, BISCHOF W, Juttner M
Spat Vis
. 2001 Feb;
13(2-3):129-35.
PMID: 11198226
No abstract available.
3.
McCabe A, Caelli T, West G, Reeves A
J Opt Soc Am A Opt Image Sci Vis
. 2000 Oct;
17(10):1744-54.
PMID: 11028522
We consider how to interpret, filter, and cross-correlate complex-value color (hue and saturation) images by using a single discrete Fourier transform: the spatiochromatic discrete Fourier transform. The model defines new...
4.
Bischof W, Caelli T
IEEE Trans Syst Man Cybern B Cybern
. 1997 Jan;
27(6):907-17.
PMID: 18263100
We discuss automatic rule generation techniques for learning relational properties of 2D visual patterns and 3D objects from training samples where the observed feature values are continuous. In particular, we...
5.
Buse R, Liu Z, Caelli T
IEEE Trans Syst Man Cybern B Cybern
. 1997 Jan;
27(5):847-61.
PMID: 18263093
In this paper, we present a new off-line word recognition system that is able to recognize unconstrained handwritten words using grey-scale images. This is based on structural and relational information...
6.
Caelli T, Dillon C, Osman E, Krieger G
Spat Vis
. 1997 Jan;
11(1):107-15.
PMID: 9304760
IPRS is a freely available software system which consists of about 250 library functions in C, and a set of application programs. It is designed to run under UNIX and...
7.
Juttner M, Caelli T, Rentschler I
Biol Cybern
. 1996 Jun;
74(6):521-35.
PMID: 8672559
In this paper human pattern recognition is modeled in terms of how human observers learn to describe patterns in terms of their perceived parts, their unary (part) and binary (relational)...
8.
Caelli T, Bischof W
Spat Vis
. 1996 Jan;
10(1):87-103.
PMID: 8817773
In this paper some issues are considered related to the encoding of spatial information and associated perceptual learning algorithms which, it is claimed, are necessary for robust pattern and object...
9.
Rentschler I, Barth E, Caelli T, Zetzsche C, Juttner M
Spat Vis
. 1996 Jan;
10(1):59-85.
PMID: 8817772
Human observers were trained to criterion in classifying compound Gabor signals with symmetry relationships, and were then tested with each of 18 blob-only versions of the learning set. Generalization to...
10.
Rentschler I, Juttner M, Caelli T
Vision Res
. 1994 Mar;
34(5):669-87.
PMID: 8160385
Probabilistic classification techniques based on Bayesian decision theory are used to analyze human supervised learning and classification. The procedure rests on the assumption that human classification behaviour is based on...