[LLIBRE][B] An introduction to outlier analysis
CC Aggarwal, CC Aggarwal - 2017 - Springer
Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …
mining and statistics literature. In most applications, the data is created by one or more …
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …
become an important problem in rapidly evolving technological areas related to autonomous …
Deep neural networks and tabular data: A survey
Heterogeneous tabular data are the most commonly used form of data and are essential for
numerous critical and computationally demanding applications. On homogeneous datasets …
numerous critical and computationally demanding applications. On homogeneous datasets …
[LLIBRE][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
Face alignment at 3000 fps via regressing local binary features
This paper presents a highly efficient, very accurate regression approach for face alignment.
Our approach has two novel components: a set of local binary features, and a locality …
Our approach has two novel components: a set of local binary features, and a locality …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict 3D positions of body joints from
a single depth image, using no temporal information. We take an object recognition …
a single depth image, using no temporal information. We take an object recognition …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict human pose---the 3D positions
of body joints---from a single depth image, without depending on information from preceding …
of body joints---from a single depth image, without depending on information from preceding …
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
Decision Forests Page 1 Decision Forests A Unified Framework for Classification,
Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning Full text …
Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning Full text …
Understanding bag-of-words model: a statistical framework
The bag-of-words model is one of the most popular representation methods for object
categorization. The key idea is to quantize each extracted key point into one of visual words …
categorization. The key idea is to quantize each extracted key point into one of visual words …
What makes paris look like paris?
Given a large repository of geo-tagged imagery, we seek to automatically find visual
elements, for example windows, balconies, and street signs, that are most distinctive for a …
elements, for example windows, balconies, and street signs, that are most distinctive for a …