Subscribe to DSC Newsletter

All Blog Posts Tagged 'Recognition' (8)

Application of Image Processing and Convolution Networks in Intelligent Character Recognition for Digitized Forms Processing

ABSTRACT

Image processing is a rapidly evolving field with immense significance in science and engineering. One of the latest

applications of Image processing is in Intelligent Character Recognition (ICR), that is the computer translation of

handwritten text into machine-readable and machine-editable…

Continue

Added by Valiance Solutions on February 20, 2018 at 12:30am — 1 Comment

Image Recognition Revolution and Applications

Data, in particular, unstructured data has been growing at a very fast pace since mid-2000’s. Eighty percent of all data generated is unstructured multimedia content which fails to get focus in organizations’ big data initiatives. A good portion of this multimedia content is images and videos. Readily available smart wireless devices along with the rising popularity…

Continue

Added by Khosrow Hassibi on September 21, 2017 at 8:30am — No Comments

“Multicollinearity” a Problem or an Opportunity?

Multicollinearity (Collinearity) is not a new term especially when dealing with multiple regression models. This phenomenon of relationship in between one response variable with the set of predictor variables also include models like classification and regression trees as well as neural networks. Collinearity is infamously famous for inflating the variance of at least one estimated regression coefficient, which can cause the model to predict erroneously and in a business setup it can have an…

Continue

Added by Sunil Kappal on March 6, 2017 at 10:00am — No Comments

Deducer Tutorial: Creating Linear Model using R Deducer Package

Linear Model better known as linear regression is one of the most common and flexible analysis framework to identify relationship between two or more variables. The widely used linear model is represented by drawing the best fit line through a series of data points represented on a scatter plot. 

For any budding business analyst this should be the starting point to understand how model works at the very core of its design.

Selecting the Variables in Deducer…

Continue

Added by Sunil Kappal on February 28, 2017 at 7:00am — No Comments

Fraud analysis using speech analytics and Monte Carlo

As per the largest market research firm MarketsandMarkets the speech analytics industry will grow to USD 1.60 billion by 2020 at a Compound Annual Growth Rate (CAGR) of 22% from 2015 to 2020. Today the omnichannel world consists of voice, email, chat, social channels, and surveys, and each channel has its own importance.

Therefore, it becomes inevitable for any customer centric organization to ignore the information that can be glean…

Continue

Added by Sunil Kappal on January 25, 2017 at 8:00am — 3 Comments

HealthCare Industry’s Savior: Using the Benford's Law (The Law of First Digit) to Debunk the Fraudsters

As the world is getting more tech savvy and advancements made in the information technology especially in the healthcare industry has opened areas in data mining and machine learning. Within the area of data mining one technique which has gained a lot of popularity as well as skepticism among the auditors and fraud detectives is Benford’s Law or “The Law of First digit.

In the past some researchers in Canada used the Benford’s Law distribution to detect anomalies within the claims…

Continue

Added by Sunil Kappal on January 16, 2017 at 5:12am — 5 Comments

How to create a Best-Fitting regression model?

Best Subset Regression method can be used to create a best-fitting regression model. This technique of model building helps to identify which predictor (independent) variables should be included in a multiple regression model(MLR).

This method comprises of scrutinizing all of the models created from all possible permutation combination of predictor variables. This technique uses the R Squared value to check for the best model. Considering the level of complexity involved in creating…

Continue

Added by Sunil Kappal on December 29, 2016 at 8:00am — 7 Comments

Gesture Recognition Market- Driven by Consumer Goods and Automotive Industries

 The importance of gesture recognition technology lies in developing efficient interaction between humans and machines. Increasing application of gesture recognition technology in consumer electronics is among the key factors boosting the gesture recognition market at the global level. 3D vision and gesture tracking solutions in gaming consoles along with 2D gesture recognition technology in smart TVs, PCs, and tablets is fueling the demand for touch less…

Continue

Added by Aman on May 29, 2016 at 11:13pm — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service