Artifact Categorization. Trends and Problems

Artifact and Artifact Categorization: Comparing Humans and Capuchin Monkeys

We aim to show that far-related primates like humans and the capuchin monkeys show interesting correspondences in terms of artifact characterization and categorization. We investigate this issue by using a philosophically-inspired definition of physical artifact which, developed for human artifacts, turns out to be applicable for cross-species comparison. In this approach an artifact is created...

Artifact Categorization: The Good, the Bad, and the Ugly

Improving Kernel Classifiers for Object Categorization Problems

This paper presents an approach for improving the performance of kernel classifiers applied to object categorization problems. The approach is based on the use of distributions centered around each training points, which are exploited for inter-class invariant image representation with local invariant features. Furthermore, we propose an extensive use of unlabeled images for improving the SVMba...

Estimating probabilities for unbounded categorization problems

We propose two output activation functions for estimating probability distributions over an unbounded number of categories with a recurrent neural network, and derive the statistical assumptions which they embody. Both these methods perform better than the standard approach to such problems, when applied to probabilistic parsing of natural language with Simple Synchrony Networks.

Automatic Text Categorization of Mathematical Word Problems

This paper describes a novel application of text categorization for mathematical word problems, namely Multiplicative Compare and Equal Group problems. The empirical results and analysis show that common text processing techniques such as stopword removal and stemming should be selectively used. It is highly beneficial not to remove stopwords and not to do stemming. Part of speech tagging shoul...