Sciweavers

68 search results - page 1 / 14
» Actively Selecting Annotations Among Objects and Attributes
Sort
View
ICCV
2011
IEEE
12 years 4 months ago
Actively Selecting Annotations Among Objects and Attributes
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kri...
ICCBSS
2003
Springer
13 years 9 months ago
Assessment of Reusable COTS Attributes
Among the main activities involved in COTS-based development there are identification, evaluation, and selection of COTS products. Several techniques have been developed for these ...
Marco Torchiano, Maria Letizia Jaccheri
ICIP
2003
IEEE
14 years 6 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 9 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ISMAR
2007
IEEE
13 years 10 months ago
Evaluating Display Types for AR Selection and Annotation
This paper evaluates different display devices for selection or annotation tasks in augmented reality (AR). We compare three different display types – a head mounted display and...
Jason Wither, Stephen DiVerdi, Tobias Höllere...