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Eyster said Rosenthal was guilty of poor accounting.

Rosenthal, on that: pic.twitter.com/4RKSUbYmH1

Character witnesses for Rosenthal called him an upstanding pillar of the community during Monday's sentencing hearing. All said they do not believe Rosenthal stole from the organization, testifying that he often let children who could not afford registration play anyway.

David Green, a friend of Rosenthal's since the 1960s, said Rosenthal often paid for necessities — food for the concession stand, pay for umpires and a new roof for the concession stand — out of his own pocket and reimbursed himself later.

"I know he didn't do this," Green said. "It's in my heart. It's in my soul."

Sasinoski sentenced Rosenthal to 21 years of probation and ordered him to pay $234,605 in restitution during that time, though that number is not set in stone. Should restitution be paid sooner, the judge said, probation can be terminated sooner.

Rosenthal said he is pleased that he will serve no jail time, but both he and Eyster said they plan to fight not only the sentence, but the conviction as well.

"I'm a free man right now," he said. "We can challenge everything we need to challenge at this point."

Gregory Allen, a coach and parent of two sons in the league, took over as president after the scandal. He declined comment on behalf of 14th Ward on Monday.

Megan Guza is a Tribune-Review staff writer. Reach her at 412-380-8519, mguza@tribweb.com or via Twitter @meganguzaTrib.

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Join our newsletter to receive information about upcoming Storefront events.

97 Kenmare Street

New York, NY 10012

Tel. 212.431.5795

info@storefrontnews.org

Tuesday– Saturday

11 am– 6pm

611 Broadway #634

September 16th – December9th, 2017

97 Kenmare Street, New York, NY

September 16th Exhibition Opening:

Public Viewing: 11 am – 6 pm

Public Opening: 7 pm – 9 pm [ black nike air force 1 uk skincare brand
]

VOTE FOR YOUR FAVORITEICON (to be delivered to Mayor de Blasio)

VOTE FOR YOUR FAVORITEICON

ORDER MINIATURE SOUVENIRS THROUGH SHAPEWAYS

As a contemporary form of commercialized nostalgia, souvenirs are the ultimate cliche in the representation of a city. Pocket-sized, acritical, and cheap, they populate tourist sites all over the world with a patina of innocence.

Producing collective imaginaries made up of lines that follow the profiles of superlative sculptures, buildings, and stories, souvenirs have become the reference points that anchor a particular culture in time, representing (consciously or not) political, cultural, and social values.

Souvenirs: New New York Icons, the second iteration of Storefront’s model show, commissions 59+ objects that redefine New York’s iconic imagery. Inspired by each of the city’s Community Districts, more than 59 artists, architects, and designers have reimagined the referential images that constitute the global perception of the city, proposing new understandings of the urban experience.

Challenging the symbols that have permeated the gift shop, Souvenirs presents critical approaches to the shifting and complex iconography of the city. The exhibition introduces new objects and, with them, new ways to relate to form, matter, affect, representation, and agency.

Visitors to the exhibition will be asked to cast a vote for the object that best represents their visions and values of the city. The top three souvenirs will be presented to the Mayor Bill de Blasio as new icons for New York City.

About the Installation

Storefront’s Iconic facade, designed by Steven Holl and Vito Acconci in 1994, has become a referent for the architectural community worldwide. The facade project, consisting of a series of pivoting panels opening the gallery walls onto the sidewalk, was built with an innovative concrete mixture, disrupting preconceived notions of heaviness attached to concrete. Taking this notion of postmateriality to its extreme, MOS Architects has produced a series of operations that open up the facade and the gallery space (through literal holes and material and textural transformations), bringing it into conversation with its urban and architectural context. With a series of transfers (material, formal, and spatial) between concrete, stone, glass, wood, plastic, and air, the installation brings the logic behind the aesthetics of recycling into a new formal language that invites us to reflect upon notions of signification and legibility in the built environment.

Quick Info

294 Washington Street Suite 1150 Boston, MA 02108

In Downtown Crossing

(781) 996-3037 careers@affectiva.com info@affectiva.com

Overview

Artificial emotional intelligence or Emotion AI is also known as emotion recognition or emotion detection technology. In market research, this is commonly referred to as facial coding.

Humans use a lot of non-verbal cues, such as facial expressions, gesture, body language and tone of voice, to communicate their emotions. Our vision is to develop Emotion AI that can detect emotion just the way humans do, from multiple channels. Our long term goal is to develop “MultimodalEmotion AI”, that combines analysis of both face and speech as complementary signals to provide richerinsightinto the humanexpression of emotion. For several years now, Affectiva has been offering industry leading technology for the analysis of facial expressions of emotions. Most recently, Affectiva has added speech capabilities now available to select beta testers ( learn more here ).

Our Emotion AI unobtrusively measures unfiltered and unbiased facial expressions of emotion, using any optical sensor or just a standard webcam. Our technology first identifies a human face in real time or in an image or video. Computer vision algorithms identify key landmarks on the face – for example, the corners of your eyebrows, the tip of your nose, the corners of your mouth. Deep learning algorithms then analyze pixels in those regions to classify facial expressions. Combinations of these facial expressions are then mapped to emotions.

In our products, we measure 7 emotion metrics: anger, contempt, disgust, fear, joy, sadness and surprise. In addition, weprovide 20 facial expression metrics. Inour nike free 40 flyknit price philippines
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Our speech capability analyzes not what is said, but how it is said, observing changes in speech paralinguistics, tone, loudness, tempo, and voice quality to distinguish speech events, emotions, and gender.The underlying low latency approach is key to enabling the development of real-time emotion-aware apps and devices.

Our first speech based product is a tenis nike blazer mid twist suede cleaner
that analyzes a pre-recorded audio segment, such as an MP3 file. The output fileprovides the analysis on speech events occurringin the audio segment every few hundred milliseconds and not just at the end of the entire utterance. An Emotion SDK that analyzes speech in real-time will be available in the near future.

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