We present here a discussion on the use of perceptual grouping to improve structure and egomotion recovery algorithms for monocular cameras. In particular we look at grouping lines to avoid the need for trinocular algorithms. We also present a number of methods for grouping lines, including a novel method that infers planar groups from those demonstrating a linear deformation.

This paper proposes an extension to the XQuery language to solve the problem of positional grouping: that is, problems in which it is necessary to convert a flat sequence into a hierarchy by recognizing patterns in the sequence of items. Positional grouping is contrasted with value-based grouping, where the allocation of items to groups is based on common values rather than on the positional re...

In this paper we presents a neural network based system for automated email grouping into activities found in the email messageEmail Grouping Method (EGM). Email users spend a lot of time reading, replying and organizing their emails and this seems to be time consuming and sometimes can resolves to less performance of daily duty, and un-necessary distractions. A new system that can manage mails...

Feature grouping has been demonstrated to be promising in learning with high-dimensional data. It helps reduce the variances in the estimation and improves the stability of feature selection. One major limitation of existing feature grouping approaches is that some similar but different feature groups are often mis-fused, leading to impaired performance. In this paper, we propose a Discriminati...

The collective motion of a set of moving entities like people, birds, or other animals, is characterized by groups arising, merging, splitting, and ending. Given the trajectories of these entities, we define and model a structure that captures all of such changes using the Reeb graph, a concept from topology. The trajectory grouping structure has three natural parameters that allow more global ...

We present a graph partitioning method to integrate prior knowledge in data grouping. We consider priors represented by three types of constraints: unitary constraints on labelling of groups, partial a priori grouping information, external in uence on binary constraints. They are modelled as biases in the grouping process. We incorporate these biases into graph partitioning criteria. Computatio...

Trajectory data streams are huge amounts of data pertaining to time and position of moving objects. They are continuously generated by different sources exploiting a wide variety of technologies (e.g., RFID tags, GPS, GSM networks). Mining such amount of data is a challenging problem, since the possibility to extract useful information from this peculiar kind of data is crucial in many applicat...

Even an "elementary" intelligence for control of the physical world will require very many kinds of knowledge and ability. Among these are ones related to perception, action, and reasoning about "near space": that region comprising one’s body and the portion of space within reach of one’s effectors; chief among these are individuation and categorization of objects. These in turn are made useful...

cation exchange capacity (cec) is one of the main factors in monitoring and management of soil quality in order to achieve sustainable production. although cec can be measured directly, these measurements are difficult, time-consuming and costly, especially for aridisols. one alternative method is the use of pedotransfer functions (ptf), in which cec of soils is estimated through available soil...