Sciweavers

99 search results - page 18 / 20
» Using local regression kernels for statistical object detect...
Sort
View
NECO
2011
13 years 1 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
EVOW
2007
Springer
13 years 10 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague
MLDM
2005
Springer
13 years 11 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
BMCBI
2008
177views more  BMCBI 2008»
13 years 6 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke
MDM
2009
Springer
299views Communications» more  MDM 2009»
14 years 20 days ago
Aggregate Location Monitoring for Wireless Sensor Networks: A Histogram-Based Approach
Location monitoring systems are used to detect human activities and provide monitoring services, e.g., aggregate queries. In this paper, we consider an aggregate location monitori...
Chi-Yin Chow, Mohamed F. Mokbel, Tian He