Hating people who are institutionally responsible (and if not responsible, definitely benefiting from, even if they refuse to admit it to themselves) is not racist. He was facing institutional, rampant racism every day, and that elicited feelings of hatred TOWARD HIS IRRATIONAL OPPRESSORS. From the quotes I saw here on celticsblog, there was nothing offensive about Jordan's quotes as a young man.

Poverty and economics are cyclical and the cycle hasn't been broken, not by a long shot.

And, statistically, are still worse off than Whites. People change, and you are generally more accountable in the present and your standards depend on your given job the standards are idfferent for player vs owner, as in basically every job scenario. To some extent we are always accountable for our past, but in general the younger you are and the more remote the incidents, the more is forgiven. Michael Jordan said some things as a young person before he was an owner? Shocker. But you don't just give up because you can't get everything for everyone at once.

Just because multiple ethnic groups have faced challenges doesn't mean you can't try to improve the lives of some it may not all happen at once, but progress is step-wise. And native americans generally have had an awful history in the US. The arguments at that time would have been the same as they are now for redskins. You are right that Negroes would have been changed a long time ago, like maybe 35 years or so. Just because those voices have so far been ignored has no bearing on a successful change in a different situation. There's a lot of outrage about the Redskins name, and many people want it changed. Inability or lack of action in other situations does not inherently mean inaction was warranted here. In Advances in Neural Information Processing Systems.-I'd be fine if there were sanctions/consequences for other bad owners in other sports. Conditional random fields: Probabilistic models for segmenting and labeling sequence data.

Lafferty, J., McCallum, A., & Pereira, F.

An Automatic Timestamp Replanting Algorithm for Panorama Video Surveillance. In Pattern Recognition (ICPR), 2012 21st International Conference on (pp. Localization and extraction of the four clock-digits using the knowledge of the digital video clock. Robust time recognition of video clock based on digit transition detection and digit-sequence recognition. In Proceedings of the Second International Conference on Internet Multimedia Computing and Service (pp. Highlight events detection in soccer video using HCRF. In Multimedia and Expo, 2007 IEEE International Conference on (pp. A real-time score detection and recognition approach for broadcast basketball video.

Miao, G., Zhu, G., Jiang, S., Huang, Q., Changsheng, X., & Gao, W.

General and domain-specific techniques for detecting and recognizing superimposed text in video. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 4(2), 11. Audio keywords generation for sports video analysis. In Multimedia and Expo, 2006 IEEE International Conference on (pp. Shot and scoring events identification of basketball videos. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 40(5), 1009-1024. Knowledge-discounted event detection in sports video. In Proceedings of the ninth ACM international conference on Multimedia (pp. Automatic detection of 'Goal' segments in basketball videos.

Nepal, S., Srinivasan, U., & Reynolds, G.

Semantic event extraction from basketball games using multi-modal analysis. The experiments show that our transition pattern based approach leads to high accuracy for both superimposed text extraction and goal detection. We exploit transition patterns to develop a Hough transform for localization, and conditional random fields (CRFs) for both score digit recognition and goal detection. We focus on extracting superimposed game clock and game score texts in broadcast basketball video. Our approach is lightweight and effectively handles main challenges in extracting superimposed texts: complex background, low-resolution and blur of the texts, which made standard localization and character recognition algorithms inaccurate. In this paper, we use superimposed texts to detect goals (both the occurrences of goal events and their types) for broadcast basketball video, and we propose a transition pattern based approach for both text extraction and goal detection. Goal events are important in automatic analysis of broadcast sports game videos, but previous approaches rely on visual or audio information which are hard to obtain.

Mediacentral nba login