For women, Melbourne-based labels such as Alpha60, Gorman and LifeWithBird are the ultimate purveyors of office-ish fashion.
His conversation does indeed tend to the vituperative, notably class-based labels such as "pompous", "posh", "stuck-up" and "Etonian", along with "crooks" and "hypocrites".
Successful Japanese-based labels such as Yohji Yamamoto have a decidedly conceptual bent (it's not such a great leap from Undercover's ripped slip dresses to Yamamoto's pleated gowns), and their presence helps confirm Paris's reputation as a credible capital for the arts.
Until recently, most label retention studies had been performed using DNA-based labels such as bromodeoxyuridine (BrdU) or tritiated thymidine.
Current methodologies for DNA biosensing based on the electrochemical detection of electroactive base-specific labels such as methylene blue (MB) suffer from lengthy incubation and washing steps.
Moreover, the electrochemical strategies for the detection of the amplicon showed to be more sensitive compared with Q-PCR strategies based on fluorescent labels such as TaqMan probes.
Forward-thinking producers such as Shed and Apparat remain based in local studios, and influential labels such as the Berghain-associated Ostgut Ton and Ellen Allien's BPitch Control provide a focus for local activity.
We propose that PRPs can replace or complement established labels, such as those based on radioactivity, fluorescence, chemiluminescence, or enzymatic/colorimetric detection that are used routinely in biochemistry, cell biology, and medical diagnostic applications.
Moreover, chemical labeling can be applied in a straightforward manner to virtually all types of samples, including organ tissue from experimental animals or from human origin, which constitutes a significant advantage over approaches based on metabolic incorporation of isotopic labels such as SILAC.
Instead we tested two postprocessing methods, an MRF based smoother that uses "soft" (probabilistic) patch labels such as those provided by our LRC/LRC method and a local oversegmentation algorithm that uses "hard" labels such as those provided by our LRC/CRF algorithm (whose usual output is a crisp FastPD segmentation, not soft patchwise marginals).
Machine learning based on an algorithm that does not require labels, such as a clustering algorithm.
