[mpen-dayton] Local Events & News

FYI.  Best, Munsup

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• (Mar. 22) FW: Seminar of the Dayton Area Machine Learning Group
• (Mar. 23) FW: Racial Justice NOW! raffles off Krogers cards, bus passes at Monthly Meeting
• (Apr. 1)    FW: Documentary Screening & Convention at ATACC
• FW: WSU cuts down layoff notice period for 1,000 as cuts loom

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From: Nilesh U Powar; Senior Research Engineer, University of Dayton Research Institute
Subject: Dayton Area Machine Learning Group

This is a reminder that our next meeting of the Dayton Area Machine Learning Group is scheduled for next Wednesday, the 22^th March at 11:30 am in the Discovery Room, 163 A/B, Student Union, Wright State University. The title and abstract of Dr. Vijayan K. Asari’s talk can be found below. Please feel free to inform anyone you think might be interested in attending.

State Preserving Extreme Learning Machine: A Monotonically
Increasing Learning Approach for Pattern Classification

Vijayan K. Asari, Ph.D., Vision Lab, University of Dayton, Dayton, Ohio 45469, USA

Detection, tracking, and recognition of objects in a wide area surveillance environment have been an active research area in the past few decades. Object motion analysis and interpretation are integral components for activity monitoring and situational awareness. Real- time performance of these data analysis tasks in a very wide field of view is an important need for monitoring in security and law enforcement applications. Although huge strides have been made in the field of computer vision related to technology development for automatic monitoring systems, there is a need for robust algorithms that can perform detections of objects and individuals in a surveillance environment. This is mainly because of certain constraints such as partial occlusions of the body, heavily crowded scenes where objects are very close to each other, etc.

Extreme Learning Machines (ELM) has been introduced as a new algorithm for training single hidden layer feedforward neural networks instead of the classical gradient-based approaches. Based on the consistency property of data, which enforces similar samples to share similar properties, ELM is a biologically inspired learning algorithm that learns much faster with good generalization and performs well in classification tasks. We present a new ELM approach, named State Preserving Extreme Leaning Machine (SPELM). SPELM ensures the overall training and testing performance of the classical ELM while monotonically increases its accuracy by preserving state variables. Experiments performed on different benchmark datasets including applications in face recognition and pedestrian detection illustrates the effectiveness of the SPELM classifier.

 

 

From: Racial Justice NOW!
Subject: [Thursday 3/23/17] Racial Justice NOW! raffles off Krogers cards, bus passes at Monthly Meeting

Calling All Dayton Area School Age Parents!

We will be raffling off Kroger Gift cards, bus tokens, and bus passes.
You don't want to miss thismeeting. Childcare and food will be provided.

Note: Meeting location will be at Body of Christ Deliverance Center (Catalpa & Hillcrest)
    


   

Donate Here to support our work

 

From: islom shakhbandarov
Subject: Documentary Screening & Convention at ATACC

 

 

From: John Doe
Subject: DDN posting

WSU cuts down layoff notice period for 1,000 as cuts loom

12:19 p.m. Monday, March 20, 2017 News

Wright State University officials are slashing the notice they have to give unclassified staff who are laid off as they prepare for staff cuts.

A change to university policy effective April 3 requires the university to give one week of notice to each unclassified laid off employee for each year of service, with a minimum of four weeks and a maximum of 24 weeks.

The change goes into effect the same month cuts and layoffs are expected to be announced to balance the university’s budget after over-spending.

RELATED: Interim WSU president has history of job, budget cutting at colleges

The pending policy is a drastic reduction from current policy, which says WSU unclassified staff members must be given notice prior to being laid off ranging from 2 months for employees of less than 3 years, to up to a year for employees who worked there 15 or more years.

This means an employee who is laid off after 10 years of service with the university will get to stay on the payroll for 2.5 months while finding a new job, instead of the nine months required in the current policy.

An email to staff announcing the change said WSU was the length of notice provided under the previous policy was at least twice as long as any other public university in Ohio.

“The revised policy continues to provide a period of transition for employees whose positions are eliminated through no fault of the employee, but also amends a financially imprudent approach,” it said.

RELATED: Wright State will not see layoff savings until 2017

The review found people given nine or 12 months of notice typically didn’t work the full time.

The university has roughly 1,000 unclassified employees. The policy change affects unclassified staff who are not employed with the university through special or renewable contracts, according to university officials.

The university’s total workforce is around 2,800, including union-represented faculty and contract employees who are not affected by the policy.

“The policy has been revised to better align with both industry best practices and current financial conditions,” said WSU spokesman Seth Bauguess in an email in response to questions.

“The policy needed revision because it was well outside industry best practices and out of alignment with the same policies at other Ohio public universities.”

 

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